id	sid	tid	token	lemma	pos
cana-1238	1	1	communications	communication	NOUN
cana-1238	1	2	on	on	ADP
cana-1238	1	3	applied	apply	VERB
cana-1238	1	4	nonlinear	nonlinear	ADJ
cana-1238	1	5	analysis	analysis	NOUN
cana-1238	1	6	issn	issn	NOUN
cana-1238	1	7	:	:	PUNCT
cana-1238	1	8	1074	1074	NUM
cana-1238	1	9	-	-	PUNCT
cana-1238	1	10	133x	133x	NUM
cana-1238	1	11	vol	vol	NOUN
cana-1238	1	12	31	31	NUM
cana-1238	1	13	no	no	NOUN
cana-1238	1	14	.	.	PUNCT
cana-1238	2	1	6s	6s	NUM
cana-1238	2	2	(	(	PUNCT
cana-1238	2	3	2024	2024	NUM
cana-1238	2	4	)	)	PUNCT
cana-1238	2	5	477	477	NUM
cana-1238	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1238	2	7	construction	construction	NOUN
cana-1238	2	8	of	of	ADP
cana-1238	2	9	3d	3d	PROPN
cana-1238	2	10	human	human	ADJ
cana-1238	2	11	model	model	NOUN
cana-1238	2	12	from	from	ADP
cana-1238	2	13	2d	2d	NUM
cana-1238	2	14	image	image	NOUN
cana-1238	2	15	using	use	VERB
cana-1238	2	16	pytorch	pytorch	NOUN
cana-1238	2	17	and	and	CCONJ
cana-1238	2	18	blender	blender	NOUN
cana-1238	2	19	ch	ch	NOUN
cana-1238	2	20	.	.	PUNCT
cana-1238	3	1	prathima1	prathima1	PROPN
cana-1238	3	2	,	,	PUNCT
cana-1238	3	3	r	r	NOUN
cana-1238	3	4	swathi2	swathi2	NOUN
cana-1238	3	5	,	,	PUNCT
cana-1238	3	6	m.	m.	NOUN
cana-1238	3	7	sakthivel3	sakthivel3	PROPN
cana-1238	3	8	,	,	PUNCT
cana-1238	3	9	i.	i.	PROPN
cana-1238	3	10	suneetha4	suneetha4	PROPN
cana-1238	3	11	,	,	PUNCT
cana-1238	3	12	anjana	anjana	PROPN
cana-1238	3	13	devi	devi	PROPN
cana-1238	3	14	nandam5	nandam5	PROPN
cana-1238	3	15	,	,	PUNCT
cana-1238	3	16	sivakumar	sivakumar	PROPN
cana-1238	3	17	depuru6	depuru6	PROPN
cana-1238	4	1	1,6school	1,6school	NUM
cana-1238	4	2	of	of	ADP
cana-1238	4	3	computing	computing	NOUN
cana-1238	4	4	,	,	PUNCT
cana-1238	4	5	mohan	mohan	PROPN
cana-1238	4	6	babu	babu	PROPN
cana-1238	4	7	university	university	PROPN
cana-1238	4	8	erstwhile	erstwhile	NOUN
cana-1238	4	9	(	(	PUNCT
cana-1238	4	10	sree	sree	PROPN
cana-1238	4	11	vidyanikethan	vidyanikethan	PROPN
cana-1238	4	12	engineering	engineering	PROPN
cana-1238	4	13	college	college	PROPN
cana-1238	4	14	)	)	PUNCT
cana-1238	4	15	,	,	PUNCT
cana-1238	4	16	tirupati	tirupati	PROPN
cana-1238	4	17	,	,	PUNCT
cana-1238	4	18	india	india	PROPN
cana-1238	4	19	2department	2department	PROPN
cana-1238	4	20	of	of	ADP
cana-1238	4	21	csa	csa	PROPN
cana-1238	4	22	,	,	PUNCT
cana-1238	4	23	sri	sri	PROPN
cana-1238	4	24	venkateswara	venkateswara	PROPN
cana-1238	4	25	college	college	PROPN
cana-1238	4	26	of	of	ADP
cana-1238	4	27	engineering	engineering	PROPN
cana-1238	4	28	tirupati	tirupati	PROPN
cana-1238	4	29	andhra	andhra	PROPN
cana-1238	4	30	pradesh	pradesh	PROPN
cana-1238	4	31	3dept	3dept	NUM
cana-1238	4	32	.	.	PUNCT
cana-1238	4	33	of	of	ADP
cana-1238	4	34	.	.	PUNCT
cana-1238	5	1	ai	ai	PROPN
cana-1238	5	2	&	&	CCONJ
cana-1238	5	3	ds	ds	PROPN
cana-1238	5	4	,	,	PUNCT
cana-1238	5	5	sri	sri	PROPN
cana-1238	5	6	shanmugha	shanmugha	PROPN
cana-1238	5	7	college	college	PROPN
cana-1238	5	8	of	of	ADP
cana-1238	5	9	engineering	engineering	NOUN
cana-1238	5	10	and	and	CCONJ
cana-1238	5	11	technology	technology	NOUN
cana-1238	5	12	,	,	PUNCT
cana-1238	5	13	sankari	sankari	NOUN
cana-1238	5	14	,	,	PUNCT
cana-1238	5	15	salem	salem	NOUN
cana-1238	5	16	,	,	PUNCT
cana-1238	5	17	tamil	tamil	PROPN
cana-1238	5	18	nadu	nadu	PROPN
cana-1238	5	19	,	,	PUNCT
cana-1238	5	20	india	india	PROPN
cana-1238	5	21	4dept	4dept	NUM
cana-1238	5	22	of	of	ADP
cana-1238	5	23	ece	ece	PROPN
cana-1238	5	24	,	,	PUNCT
cana-1238	5	25	annamacharya	annamacharya	PROPN
cana-1238	5	26	institute	institute	PROPN
cana-1238	5	27	of	of	ADP
cana-1238	5	28	technology	technology	PROPN
cana-1238	5	29	and	and	CCONJ
cana-1238	5	30	sciences	science	NOUN
cana-1238	5	31	,	,	PUNCT
cana-1238	5	32	tirupati	tirupati	PROPN
cana-1238	5	33	,	,	PUNCT
cana-1238	5	34	a.p	a.p	PROPN
cana-1238	5	35	,	,	PUNCT
cana-1238	5	36	india	india	PROPN
cana-1238	5	37	5assistant	5assistant	NUM
cana-1238	5	38	professor	professor	NOUN
cana-1238	5	39	dept	dept	NOUN
cana-1238	5	40	.	.	PUNCT
cana-1238	6	1	of	of	ADP
cana-1238	6	2	.	.	PUNCT
cana-1238	7	1	cse	cse	PROPN
cana-1238	7	2	,	,	PUNCT
cana-1238	7	3	koneru	koneru	PROPN
cana-1238	7	4	lakshmaiah	lakshmaiah	PROPN
cana-1238	7	5	education	education	PROPN
cana-1238	7	6	foundation	foundation	PROPN
cana-1238	7	7	,	,	PUNCT
cana-1238	7	8	vaddeswaram	vaddeswaram	PROPN
cana-1238	7	9	,	,	PUNCT
cana-1238	7	10	a.p	a.p	PROPN
cana-1238	7	11	,	,	PUNCT
cana-1238	7	12	india	india	PROPN
cana-1238	7	13	1corresponding	1corresponding	PROPN
cana-1238	7	14	author	author	NOUN
cana-1238	7	15	:	:	PUNCT
cana-1238	8	1	chilukuriprathi@gmail.com	chilukuriprathi@gmail.com	X
cana-1238	8	2	article	article	NOUN
cana-1238	8	3	history	history	NOUN
cana-1238	8	4	:	:	PUNCT
cana-1238	8	5	received	receive	VERB
cana-1238	8	6	:	:	PUNCT
cana-1238	8	7	18	18	NUM
cana-1238	8	8	-	-	SYM
cana-1238	8	9	06	06	NUM
cana-1238	8	10	-	-	PUNCT
cana-1238	8	11	2024	2024	NUM
cana-1238	8	12	revised	revise	VERB
cana-1238	8	13	:	:	PUNCT
cana-1238	8	14	24	24	NUM
cana-1238	8	15	-	-	PUNCT
cana-1238	8	16	07	07	NUM
cana-1238	8	17	-	-	PUNCT
cana-1238	8	18	2024	2024	NUM
cana-1238	8	19	accepted	accept	VERB
cana-1238	8	20	:	:	PUNCT
cana-1238	8	21	02	02	NUM
cana-1238	8	22	-	-	PUNCT
cana-1238	8	23	08	08	NUM
cana-1238	8	24	-	-	PUNCT
cana-1238	8	25	2024	2024	NUM
cana-1238	8	26	abstract	abstract	NOUN
cana-1238	8	27	:	:	PUNCT
cana-1238	8	28	in	in	ADP
cana-1238	8	29	this	this	DET
cana-1238	8	30	study	study	NOUN
cana-1238	8	31	,	,	PUNCT
cana-1238	8	32	we	we	PRON
cana-1238	8	33	present	present	VERB
cana-1238	8	34	our	our	PRON
cana-1238	8	35	innovative	innovative	ADJ
cana-1238	8	36	approach	approach	NOUN
cana-1238	8	37	to	to	ADP
cana-1238	8	38	generating	generate	VERB
cana-1238	8	39	3d	3d	NUM
cana-1238	8	40	models	model	NOUN
cana-1238	8	41	from	from	ADP
cana-1238	8	42	2d	2d	NUM
cana-1238	8	43	images	image	NOUN
cana-1238	8	44	,	,	PUNCT
cana-1238	8	45	employing	employ	VERB
cana-1238	8	46	pytorch	pytorch	NOUN
cana-1238	8	47	,	,	PUNCT
cana-1238	8	48	blender	blender	NOUN
cana-1238	8	49	,	,	PUNCT
cana-1238	8	50	python	python	PROPN
cana-1238	8	51	,	,	PUNCT
cana-1238	8	52	and	and	CCONJ
cana-1238	8	53	opencv	opencv	PROPN
cana-1238	8	54	.	.	PUNCT
cana-1238	9	1	our	our	PRON
cana-1238	9	2	method	method	NOUN
cana-1238	9	3	integrates	integrate	VERB
cana-1238	9	4	image	image	NOUN
cana-1238	9	5	pre	pre	ADJ
cana-1238	9	6	-	-	ADJ
cana-1238	9	7	processing	processing	ADJ
cana-1238	9	8	techniques	technique	NOUN
cana-1238	9	9	,	,	PUNCT
cana-1238	9	10	a	a	DET
cana-1238	9	11	pre	pre	ADJ
cana-1238	9	12	-	-	ADJ
cana-1238	9	13	trained	train	VERB
cana-1238	9	14	model	model	NOUN
cana-1238	9	15	,	,	PUNCT
cana-1238	9	16	and	and	CCONJ
cana-1238	9	17	rendering	render	VERB
cana-1238	9	18	capabilities	capability	NOUN
cana-1238	9	19	to	to	PART
cana-1238	9	20	produce	produce	VERB
cana-1238	9	21	high	high	ADJ
cana-1238	9	22	-	-	PUNCT
cana-1238	9	23	fidelity	fidelity	NOUN
cana-1238	9	24	3d	3d	NUM
cana-1238	9	25	representations	representation	NOUN
cana-1238	9	26	.	.	PUNCT
cana-1238	10	1	initially	initially	ADV
cana-1238	10	2	,	,	PUNCT
cana-1238	10	3	the	the	DET
cana-1238	10	4	input	input	NOUN
cana-1238	10	5	images	image	NOUN
cana-1238	10	6	,	,	PUNCT
cana-1238	10	7	stripped	strip	VERB
cana-1238	10	8	of	of	ADP
cana-1238	10	9	backgrounds	background	NOUN
cana-1238	10	10	using	use	VERB
cana-1238	10	11	opencv	opencv	PROPN
cana-1238	10	12	,	,	PUNCT
cana-1238	10	13	undergo	undergo	VERB
cana-1238	10	14	pre	pre	ADJ
cana-1238	10	15	-	-	ADJ
cana-1238	10	16	processing	processing	ADJ
cana-1238	10	17	steps	step	NOUN
cana-1238	10	18	to	to	PART
cana-1238	10	19	enhance	enhance	VERB
cana-1238	10	20	features	feature	NOUN
cana-1238	10	21	relevant	relevant	ADJ
cana-1238	10	22	for	for	ADP
cana-1238	10	23	3d	3d	PROPN
cana-1238	10	24	reconstruction	reconstruction	NOUN
cana-1238	10	25	,	,	PUNCT
cana-1238	10	26	such	such	ADJ
cana-1238	10	27	as	as	ADP
cana-1238	10	28	edge	edge	NOUN
cana-1238	10	29	detection	detection	NOUN
cana-1238	10	30	and	and	CCONJ
cana-1238	10	31	depth	depth	NOUN
cana-1238	10	32	estimation	estimation	NOUN
cana-1238	10	33	.	.	PUNCT
cana-1238	11	1	we	we	PRON
cana-1238	11	2	utilize	utilize	VERB
cana-1238	11	3	pytorch	pytorch	NOUN
cana-1238	11	4	,	,	PUNCT
cana-1238	11	5	a	a	DET
cana-1238	11	6	deep	deep	ADJ
cana-1238	11	7	learning	learning	NOUN
cana-1238	11	8	framework	framework	NOUN
cana-1238	11	9	,	,	PUNCT
cana-1238	11	10	to	to	PART
cana-1238	11	11	implement	implement	VERB
cana-1238	11	12	a	a	DET
cana-1238	11	13	leading	lead	VERB
cana-1238	11	14	edge	edge	NOUN
cana-1238	11	15	model	model	NOUN
cana-1238	11	16	trained	train	VERB
cana-1238	11	17	on	on	ADP
cana-1238	11	18	large	large	ADJ
cana-1238	11	19	-	-	PUNCT
cana-1238	11	20	scale	scale	NOUN
cana-1238	11	21	3d	3d	NUM
cana-1238	11	22	datasets	dataset	NOUN
cana-1238	11	23	,	,	PUNCT
cana-1238	11	24	enabling	enable	VERB
cana-1238	11	25	accurate	accurate	ADJ
cana-1238	11	26	conversion	conversion	NOUN
cana-1238	11	27	of	of	ADP
cana-1238	11	28	2d	2d	PROPN
cana-1238	11	29	imagery	imagery	NOUN
cana-1238	11	30	into	into	ADP
cana-1238	11	31	3d	3d	NUM
cana-1238	11	32	structures	structure	NOUN
cana-1238	11	33	.	.	PUNCT
cana-1238	12	1	subsequently	subsequently	ADV
cana-1238	12	2	,	,	PUNCT
cana-1238	12	3	the	the	DET
cana-1238	12	4	generated	generate	VERB
cana-1238	12	5	3d	3d	PROPN
cana-1238	12	6	model	model	NOUN
cana-1238	12	7	is	be	AUX
cana-1238	12	8	imported	import	VERB
cana-1238	12	9	into	into	ADP
cana-1238	12	10	blender	blender	NOUN
cana-1238	12	11	,	,	PUNCT
cana-1238	12	12	a	a	DET
cana-1238	12	13	powerful	powerful	ADJ
cana-1238	12	14	3d	3d	NUM
cana-1238	12	15	modeling	modeling	NOUN
cana-1238	12	16	software	software	NOUN
cana-1238	12	17	,	,	PUNCT
cana-1238	12	18	for	for	ADP
cana-1238	12	19	refinement	refinement	NOUN
cana-1238	12	20	and	and	CCONJ
cana-1238	12	21	further	further	ADJ
cana-1238	12	22	enhancements	enhancement	NOUN
cana-1238	12	23	.	.	PUNCT
cana-1238	13	1	python	python	PROPN
cana-1238	13	2	scripts	script	NOUN
cana-1238	13	3	facilitate	facilitate	VERB
cana-1238	13	4	the	the	DET
cana-1238	13	5	integration	integration	NOUN
cana-1238	13	6	between	between	ADP
cana-1238	13	7	pytorch	pytorch	NOUN
cana-1238	13	8	,	,	PUNCT
cana-1238	13	9	opencv	opencv	PROPN
cana-1238	13	10	,	,	PUNCT
cana-1238	13	11	and	and	CCONJ
cana-1238	13	12	blender	blender	NOUN
cana-1238	13	13	,	,	PUNCT
cana-1238	13	14	streamlining	streamline	VERB
cana-1238	13	15	our	our	PRON
cana-1238	13	16	workflow	workflow	NOUN
cana-1238	13	17	for	for	ADP
cana-1238	13	18	seamless	seamless	ADJ
cana-1238	13	19	data	datum	NOUN
cana-1238	13	20	exchange	exchange	NOUN
cana-1238	13	21	and	and	CCONJ
cana-1238	13	22	processing	processing	NOUN
cana-1238	13	23	.	.	PUNCT
cana-1238	14	1	finally	finally	ADV
cana-1238	14	2	,	,	PUNCT
cana-1238	14	3	the	the	DET
cana-1238	14	4	reconstructed	reconstructed	ADJ
cana-1238	14	5	3d	3d	NUM
cana-1238	14	6	model	model	NOUN
cana-1238	14	7	,	,	PUNCT
cana-1238	14	8	generated	generate	VERB
cana-1238	14	9	from	from	ADP
cana-1238	14	10	input	input	NOUN
cana-1238	14	11	images	image	NOUN
cana-1238	14	12	devoid	devoid	ADJ
cana-1238	14	13	of	of	ADP
cana-1238	14	14	backgrounds	background	NOUN
cana-1238	14	15	,	,	PUNCT
cana-1238	14	16	is	be	AUX
cana-1238	14	17	rendered	render	VERB
cana-1238	14	18	as	as	ADP
cana-1238	14	19	a	a	DET
cana-1238	14	20	video	video	NOUN
cana-1238	14	21	in	in	ADP
cana-1238	14	22	mp4	mp4	NOUN
cana-1238	14	23	format	format	NOUN
cana-1238	14	24	,	,	PUNCT
cana-1238	14	25	showcasing	showcase	VERB
cana-1238	14	26	its	its	PRON
cana-1238	14	27	dynamic	dynamic	ADJ
cana-1238	14	28	attributes	attribute	NOUN
cana-1238	14	29	and	and	CCONJ
cana-1238	14	30	spatial	spatial	ADJ
cana-1238	14	31	properties	property	NOUN
cana-1238	14	32	.	.	PUNCT
cana-1238	15	1	this	this	DET
cana-1238	15	2	comprehensive	comprehensive	ADJ
cana-1238	15	3	methodology	methodology	NOUN
cana-1238	15	4	offers	offer	VERB
cana-1238	15	5	a	a	DET
cana-1238	15	6	robust	robust	ADJ
cana-1238	15	7	framework	framework	NOUN
cana-1238	15	8	for	for	ADP
cana-1238	15	9	generating	generate	VERB
cana-1238	15	10	realistic	realistic	ADJ
cana-1238	15	11	3d	3d	NOUN
cana-1238	15	12	models	model	NOUN
cana-1238	15	13	from	from	ADP
cana-1238	15	14	background	background	NOUN
cana-1238	15	15	-	-	PUNCT
cana-1238	15	16	removed	remove	VERB
cana-1238	15	17	2d	2d	NUM
cana-1238	15	18	images	image	NOUN
cana-1238	15	19	,	,	PUNCT
cana-1238	15	20	with	with	ADP
cana-1238	15	21	broad	broad	ADJ
cana-1238	15	22	applications	application	NOUN
cana-1238	15	23	in	in	ADP
cana-1238	15	24	computer	computer	NOUN
cana-1238	15	25	vision	vision	NOUN
cana-1238	15	26	,	,	PUNCT
cana-1238	15	27	virtual	virtual	ADJ
cana-1238	15	28	reality	reality	NOUN
cana-1238	15	29	,	,	PUNCT
cana-1238	15	30	and	and	CCONJ
cana-1238	15	31	digital	digital	ADJ
cana-1238	15	32	content	content	NOUN
cana-1238	15	33	creation	creation	NOUN
cana-1238	15	34	.	.	PUNCT
cana-1238	16	1	keywords	keyword	NOUN
cana-1238	16	2	:	:	PUNCT
cana-1238	16	3	pytorch	pytorch	NOUN
cana-1238	16	4	,	,	PUNCT
cana-1238	16	5	blender	blender	NOUN
cana-1238	16	6	,	,	PUNCT
cana-1238	16	7	opencv	opencv	X
cana-1238	16	8	,	,	PUNCT
cana-1238	16	9	pre	pre	ADJ
cana-1238	16	10	-	-	ADJ
cana-1238	16	11	trained	train	VERB
cana-1238	16	12	model	model	NOUN
cana-1238	16	13	,	,	PUNCT
cana-1238	16	14	high	high	ADJ
cana-1238	16	15	-	-	PUNCT
cana-1238	16	16	fidelity	fidelity	NOUN
cana-1238	16	17	,	,	PUNCT
cana-1238	16	18	depth	depth	NOUN
cana-1238	16	19	estimation	estimation	NOUN
cana-1238	16	20	,	,	PUNCT
cana-1238	16	21	seamless	seamless	ADJ
cana-1238	16	22	data	datum	NOUN
cana-1238	16	23	exchange	exchange	NOUN
cana-1238	16	24	,	,	PUNCT
cana-1238	16	25	virtual	virtual	ADJ
cana-1238	16	26	reality	reality	NOUN
cana-1238	16	27	1	1	NUM
cana-1238	16	28	.	.	X
cana-1238	17	1	introduction	introduction	VERB
cana-1238	17	2	the	the	DET
cana-1238	17	3	synthesis	synthesis	NOUN
cana-1238	17	4	of	of	ADP
cana-1238	17	5	three	three	NUM
cana-1238	17	6	-	-	PUNCT
cana-1238	17	7	dimensional	dimensional	ADJ
cana-1238	17	8	(	(	PUNCT
cana-1238	17	9	3d	3d	NOUN
cana-1238	17	10	)	)	PUNCT
cana-1238	17	11	models	model	NOUN
cana-1238	17	12	from	from	ADP
cana-1238	17	13	two	two	NUM
cana-1238	17	14	-	-	PUNCT
cana-1238	17	15	dimensional	dimensional	ADJ
cana-1238	17	16	(	(	PUNCT
cana-1238	17	17	2d	2d	NOUN
cana-1238	17	18	)	)	PUNCT
cana-1238	17	19	photographs	photograph	NOUN
cana-1238	17	20	is	be	AUX
cana-1238	17	21	an	an	DET
cana-1238	17	22	intriguing	intriguing	ADJ
cana-1238	17	23	junction	junction	NOUN
cana-1238	17	24	of	of	ADP
cana-1238	17	25	technology	technology	NOUN
cana-1238	17	26	and	and	CCONJ
cana-1238	17	27	creativity	creativity	NOUN
cana-1238	17	28	in	in	ADP
cana-1238	17	29	the	the	DET
cana-1238	17	30	dynamic	dynamic	ADJ
cana-1238	17	31	fields	field	NOUN
cana-1238	17	32	of	of	ADP
cana-1238	17	33	computer	computer	NOUN
cana-1238	17	34	graphics	graphic	NOUN
cana-1238	17	35	and	and	CCONJ
cana-1238	17	36	artificial	artificial	ADJ
cana-1238	17	37	intelligence	intelligence	NOUN
cana-1238	18	1	[	[	X
cana-1238	18	2	11	11	NUM
cana-1238	18	3	]	]	PUNCT
cana-1238	18	4	.	.	PUNCT
cana-1238	19	1	this	this	DET
cana-1238	19	2	approach	approach	NOUN
cana-1238	19	3	,	,	PUNCT
cana-1238	19	4	which	which	PRON
cana-1238	19	5	is	be	AUX
cana-1238	19	6	also	also	ADV
cana-1238	19	7	known	know	VERB
cana-1238	19	8	as	as	ADP
cana-1238	19	9	3d	3d	PROPN
cana-1238	19	10	reconstruction	reconstruction	NOUN
cana-1238	19	11	,	,	PUNCT
cana-1238	19	12	creates	create	VERB
cana-1238	19	13	a	a	DET
cana-1238	19	14	plethora	plethora	NOUN
cana-1238	19	15	of	of	ADP
cana-1238	19	16	opportunities	opportunity	NOUN
cana-1238	19	17	in	in	ADP
cana-1238	19	18	a	a	DET
cana-1238	19	19	variety	variety	NOUN
cana-1238	19	20	of	of	ADP
cana-1238	19	21	fields	field	NOUN
cana-1238	19	22	,	,	PUNCT
cana-1238	19	23	including	include	VERB
cana-1238	19	24	virtual	virtual	ADJ
cana-1238	19	25	reality	reality	NOUN
cana-1238	19	26	experiences	experience	NOUN
cana-1238	19	27	,	,	PUNCT
cana-1238	19	28	gaming	gaming	NOUN
cana-1238	19	29	,	,	PUNCT
cana-1238	19	30	and	and	CCONJ
cana-1238	19	31	scientific	scientific	ADJ
cana-1238	19	32	visualization	visualization	NOUN
cana-1238	19	33	in	in	ADP
cana-1238	19	34	addition	addition	NOUN
cana-1238	19	35	to	to	ADP
cana-1238	19	36	entertainment	entertainment	NOUN
cana-1238	19	37	.	.	PUNCT
cana-1238	20	1	with	with	ADP
cana-1238	20	2	the	the	DET
cana-1238	20	3	goal	goal	NOUN
cana-1238	20	4	of	of	ADP
cana-1238	20	5	exploring	explore	VERB
cana-1238	20	6	and	and	CCONJ
cana-1238	20	7	streamlining	streamline	VERB
cana-1238	20	8	this	this	DET
cana-1238	20	9	complex	complex	ADJ
cana-1238	20	10	process	process	NOUN
cana-1238	20	11	,	,	PUNCT
cana-1238	20	12	our	our	PRON
cana-1238	20	13	project	project	NOUN
cana-1238	20	14	uses	use	VERB
cana-1238	20	15	state	state	NOUN
cana-1238	20	16	-	-	PUNCT
cana-1238	20	17	of	of	ADP
cana-1238	20	18	-	-	PUNCT
cana-1238	20	19	the	the	DET
cana-1238	20	20	-	-	PUNCT
cana-1238	20	21	art	art	NOUN
cana-1238	20	22	tools	tool	NOUN
cana-1238	20	23	and	and	CCONJ
cana-1238	20	24	methods	method	NOUN
cana-1238	20	25	to	to	PART
cana-1238	20	26	convert	convert	VERB
cana-1238	20	27	2d	2d	NUM
cana-1238	20	28	photos	photo	NOUN
cana-1238	20	29	into	into	ADP
cana-1238	20	30	realistic	realistic	ADJ
cana-1238	20	31	3d	3d	NOUN
cana-1238	20	32	scenes.our	scenes.our	DET
cana-1238	20	33	project	project	NOUN
cana-1238	20	34	revolves	revolve	VERB
cana-1238	20	35	around	around	ADP
cana-1238	20	36	a	a	DET
cana-1238	20	37	painstakingly	painstakingly	ADV
cana-1238	20	38	engineered	engineer	VERB
cana-1238	20	39	pipeline	pipeline	NOUN
cana-1238	20	40	that	that	PRON
cana-1238	20	41	encompasses	encompass	VERB
cana-1238	20	42	the	the	DET
cana-1238	20	43	whole	whole	ADJ
cana-1238	20	44	3d	3d	NUM
cana-1238	20	45	model	model	NOUN
cana-1238	20	46	creation	creation	NOUN
cana-1238	20	47	process	process	NOUN
cana-1238	20	48	,	,	PUNCT
cana-1238	20	49	from	from	ADP
cana-1238	20	50	initial	initial	ADJ
cana-1238	20	51	image	image	NOUN
cana-1238	20	52	pre	pre	ADJ
cana-1238	20	53	-	-	ADJ
cana-1238	20	54	processing	processing	ADJ
cana-1238	20	55	to	to	ADP
cana-1238	20	56	final	final	ADJ
cana-1238	20	57	video	video	NOUN
cana-1238	20	58	rendering	rendering	NOUN
cana-1238	21	1	[	[	X
cana-1238	21	2	12	12	NUM
cana-1238	21	3	]	]	PUNCT
cana-1238	21	4	.	.	PUNCT
cana-1238	22	1	this	this	DET
cana-1238	22	2	all	all	ADV
cana-1238	22	3	-	-	PUNCT
cana-1238	22	4	encompassing	encompass	VERB
cana-1238	22	5	strategy	strategy	NOUN
cana-1238	22	6	incorporates	incorporate	VERB
cana-1238	22	7	cutting	cut	VERB
cana-1238	22	8	-	-	PUNCT
cana-1238	22	9	edge	edge	NOUN
cana-1238	22	10	techniques	technique	NOUN
cana-1238	22	11	and	and	CCONJ
cana-1238	22	12	software	software	NOUN
cana-1238	22	13	frameworks	framework	NOUN
cana-1238	22	14	,	,	PUNCT
cana-1238	22	15	such	such	ADJ
cana-1238	22	16	as	as	ADP
cana-1238	22	17	pytorch	pytorch	NOUN
cana-1238	22	18	,	,	PUNCT
cana-1238	22	19	blender	blender	NOUN
cana-1238	22	20	,	,	PUNCT
cana-1238	22	21	and	and	CCONJ
cana-1238	22	22	python	python	NOUN
cana-1238	22	23	,	,	PUNCT
cana-1238	22	24	to	to	PART
cana-1238	22	25	conduct	conduct	VERB
cana-1238	22	26	a	a	DET
cana-1238	22	27	symphony	symphony	NOUN
cana-1238	22	28	of	of	ADP
cana-1238	22	29	calculations	calculation	NOUN
cana-1238	22	30	and	and	CCONJ
cana-1238	22	31	communications	communication	NOUN
cana-1238	22	32	on	on	ADP
cana-1238	22	33	applied	apply	VERB
cana-1238	22	34	nonlinear	nonlinear	ADJ
cana-1238	22	35	analysis	analysis	NOUN
cana-1238	22	36	issn	issn	NOUN
cana-1238	22	37	:	:	PUNCT
cana-1238	22	38	1074	1074	NUM
cana-1238	22	39	-	-	PUNCT
cana-1238	22	40	133x	133x	NUM
cana-1238	22	41	vol	vol	NOUN
cana-1238	22	42	31	31	NUM
cana-1238	22	43	no	no	NOUN
cana-1238	22	44	.	.	PUNCT
cana-1238	23	1	6s	6s	NUM
cana-1238	23	2	(	(	PUNCT
cana-1238	23	3	2024	2024	NUM
cana-1238	23	4	)	)	PUNCT
cana-1238	23	5	478	478	NUM
cana-1238	23	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1238	23	7	algorithms	algorithm	NOUN
cana-1238	23	8	intended	intend	VERB
cana-1238	23	9	to	to	PART
cana-1238	23	10	realize	realize	VERB
cana-1238	23	11	the	the	DET
cana-1238	23	12	vision	vision	NOUN
cana-1238	23	13	contained	contain	VERB
cana-1238	23	14	in	in	ADP
cana-1238	23	15	2d	2d	NUM
cana-1238	23	16	pictures	picture	NOUN
cana-1238	23	17	.	.	PUNCT
cana-1238	24	1	the	the	DET
cana-1238	24	2	procedure	procedure	NOUN
cana-1238	24	3	starts	start	VERB
cana-1238	24	4	with	with	ADP
cana-1238	24	5	picture	picture	NOUN
cana-1238	24	6	pre	pre	ADJ
cana-1238	24	7	-	-	NOUN
cana-1238	24	8	processing	processing	NOUN
cana-1238	24	9	,	,	PUNCT
cana-1238	24	10	which	which	PRON
cana-1238	24	11	involves	involve	VERB
cana-1238	24	12	a	a	DET
cana-1238	24	13	number	number	NOUN
cana-1238	24	14	of	of	ADP
cana-1238	24	15	adjustments	adjustment	NOUN
cana-1238	24	16	to	to	ADP
cana-1238	24	17	raw	raw	ADJ
cana-1238	24	18	input	input	NOUN
cana-1238	24	19	photos	photo	NOUN
cana-1238	24	20	to	to	PART
cana-1238	24	21	improve	improve	VERB
cana-1238	24	22	pertinent	pertinent	ADJ
cana-1238	24	23	aspects	aspect	NOUN
cana-1238	24	24	and	and	CCONJ
cana-1238	24	25	get	get	VERB
cana-1238	24	26	them	they	PRON
cana-1238	24	27	ready	ready	ADJ
cana-1238	24	28	for	for	ADP
cana-1238	24	29	further	further	ADJ
cana-1238	24	30	analysis	analysis	NOUN
cana-1238	24	31	.	.	PUNCT
cana-1238	25	1	approaches	approach	NOUN
cana-1238	25	2	including	include	VERB
cana-1238	25	3	edge	edge	NOUN
cana-1238	25	4	detection	detection	NOUN
cana-1238	25	5	,	,	PUNCT
cana-1238	25	6	texture	texture	NOUN
cana-1238	25	7	enhancement	enhancement	NOUN
cana-1238	25	8	,	,	PUNCT
cana-1238	25	9	and	and	CCONJ
cana-1238	25	10	background	background	NOUN
cana-1238	25	11	removal	removal	NOUN
cana-1238	25	12	are	be	AUX
cana-1238	25	13	used	use	VERB
cana-1238	25	14	to	to	PART
cana-1238	25	15	extract	extract	VERB
cana-1238	25	16	relevant	relevant	ADJ
cana-1238	25	17	information	information	NOUN
cana-1238	25	18	while	while	SCONJ
cana-1238	25	19	maintaining	maintain	VERB
cana-1238	25	20	important	important	ADJ
cana-1238	25	21	spatial	spatial	ADJ
cana-1238	25	22	cues	cue	NOUN
cana-1238	25	23	needed	need	VERB
cana-1238	25	24	for	for	ADP
cana-1238	25	25	precise	precise	ADJ
cana-1238	25	26	structure	structure	NOUN
cana-1238	25	27	inference	inference	NOUN
cana-1238	25	28	and	and	CCONJ
cana-1238	25	29	depth	depth	NOUN
cana-1238	25	30	estimation	estimation	NOUN
cana-1238	25	31	[	[	X
cana-1238	25	32	13	13	NUM
cana-1238	25	33	]	]	PUNCT
cana-1238	25	34	.	.	PUNCT
cana-1238	26	1	after	after	ADP
cana-1238	26	2	obtaining	obtain	VERB
cana-1238	26	3	pre	pre	ADJ
cana-1238	26	4	-	-	ADJ
cana-1238	26	5	processed	process	VERB
cana-1238	26	6	images	image	NOUN
cana-1238	26	7	,	,	PUNCT
cana-1238	26	8	pytorch	pytorch	NOUN
cana-1238	26	9	's	's	PART
cana-1238	26	10	tremendous	tremendous	ADJ
cana-1238	26	11	capabilities	capability	NOUN
cana-1238	26	12	set	set	VERB
cana-1238	26	13	the	the	DET
cana-1238	26	14	ground	ground	NOUN
cana-1238	26	15	for	for	ADP
cana-1238	26	16	the	the	DET
cana-1238	26	17	application	application	NOUN
cana-1238	26	18	of	of	ADP
cana-1238	26	19	deep	deep	ADJ
cana-1238	26	20	learning	learning	NOUN
cana-1238	26	21	.	.	PUNCT
cana-1238	27	1	this	this	PRON
cana-1238	27	2	is	be	AUX
cana-1238	27	3	when	when	SCONJ
cana-1238	27	4	a	a	DET
cana-1238	27	5	neural	neural	ADJ
cana-1238	27	6	network	network	NOUN
cana-1238	27	7	model	model	NOUN
cana-1238	27	8	that	that	PRON
cana-1238	27	9	has	have	AUX
cana-1238	27	10	already	already	ADV
cana-1238	27	11	been	be	AUX
cana-1238	27	12	carefully	carefully	ADV
cana-1238	27	13	trained	train	VERB
cana-1238	27	14	on	on	ADP
cana-1238	27	15	enormous	enormous	ADJ
cana-1238	27	16	databases	database	NOUN
cana-1238	27	17	of	of	ADP
cana-1238	27	18	3d	3d	PROPN
cana-1238	27	19	data	datum	NOUN
cana-1238	27	20	comes	come	VERB
cana-1238	27	21	into	into	ADP
cana-1238	27	22	play	play	NOUN
cana-1238	27	23	.	.	PUNCT
cana-1238	28	1	equipped	equip	VERB
cana-1238	28	2	with	with	ADP
cana-1238	28	3	the	the	DET
cana-1238	28	4	capacity	capacity	NOUN
cana-1238	28	5	to	to	PART
cana-1238	28	6	identify	identify	VERB
cana-1238	28	7	complex	complex	ADJ
cana-1238	28	8	patterns	pattern	NOUN
cana-1238	28	9	and	and	CCONJ
cana-1238	28	10	structures	structure	NOUN
cana-1238	28	11	in	in	ADP
cana-1238	28	12	2d	2d	NUM
cana-1238	28	13	photographs	photograph	NOUN
cana-1238	28	14	,	,	PUNCT
cana-1238	28	15	our	our	PRON
cana-1238	28	16	model	model	NOUN
cana-1238	28	17	sets	set	VERB
cana-1238	28	18	out	out	ADP
cana-1238	28	19	to	to	PART
cana-1238	28	20	deduce	deduce	VERB
cana-1238	28	21	the	the	DET
cana-1238	28	22	underlying	underlie	VERB
cana-1238	28	23	3d	3d	NOUN
cana-1238	28	24	geometry	geometry	NOUN
cana-1238	28	25	,	,	PUNCT
cana-1238	28	26	bringing	bring	VERB
cana-1238	28	27	flat	flat	ADJ
cana-1238	28	28	objects	object	NOUN
cana-1238	28	29	to	to	ADP
cana-1238	28	30	life	life	NOUN
cana-1238	28	31	and	and	CCONJ
cana-1238	28	32	changing	change	VERB
cana-1238	28	33	pixels	pixel	NOUN
cana-1238	28	34	into	into	ADP
cana-1238	28	35	palpable	palpable	ADJ
cana-1238	28	36	objects	object	NOUN
cana-1238	28	37	[	[	X
cana-1238	28	38	14	14	NUM
cana-1238	28	39	]	]	PUNCT
cana-1238	28	40	.	.	PUNCT
cana-1238	29	1	the	the	DET
cana-1238	29	2	neural	neural	ADJ
cana-1238	29	3	network	network	NOUN
cana-1238	29	4	's	's	PART
cana-1238	29	5	predictions	prediction	NOUN
cana-1238	29	6	are	be	AUX
cana-1238	29	7	smoothly	smoothly	ADV
cana-1238	29	8	incorporated	incorporate	VERB
cana-1238	29	9	into	into	ADP
cana-1238	29	10	blender	blender	NOUN
cana-1238	29	11	's	's	PART
cana-1238	29	12	immersive	immersive	ADJ
cana-1238	29	13	environment	environment	NOUN
cana-1238	29	14	as	as	SCONJ
cana-1238	29	15	it	it	PRON
cana-1238	29	16	deciphers	decipher	VERB
cana-1238	29	17	the	the	DET
cana-1238	29	18	mysteries	mystery	NOUN
cana-1238	29	19	contained	contain	VERB
cana-1238	29	20	inside	inside	ADP
cana-1238	29	21	the	the	DET
cana-1238	29	22	2d	2d	NUM
cana-1238	29	23	images	image	NOUN
cana-1238	29	24	.	.	PUNCT
cana-1238	30	1	using	use	VERB
cana-1238	30	2	python	python	NOUN
cana-1238	30	3	scripts	script	NOUN
cana-1238	30	4	as	as	ADP
cana-1238	30	5	communication	communication	NOUN
cana-1238	30	6	channels	channel	NOUN
cana-1238	30	7	,	,	PUNCT
cana-1238	30	8	the	the	DET
cana-1238	30	9	rebuilt	rebuilt	ADJ
cana-1238	30	10	3d	3d	NOUN
cana-1238	30	11	models	model	NOUN
cana-1238	30	12	settle	settle	VERB
cana-1238	30	13	into	into	ADP
cana-1238	30	14	this	this	DET
cana-1238	30	15	flexible	flexible	ADJ
cana-1238	30	16	3d	3d	PROPN
cana-1238	30	17	rendering	rendering	NOUN
cana-1238	30	18	environment	environment	NOUN
cana-1238	30	19	,	,	PUNCT
cana-1238	30	20	where	where	SCONJ
cana-1238	30	21	they	they	PRON
cana-1238	30	22	are	be	AUX
cana-1238	30	23	further	far	ADV
cana-1238	30	24	improved	improve	VERB
cana-1238	30	25	and	and	CCONJ
cana-1238	30	26	polished	polished	ADJ
cana-1238	30	27	.	.	PUNCT
cana-1238	31	1	here	here	ADV
cana-1238	31	2	,	,	PUNCT
cana-1238	31	3	the	the	DET
cana-1238	31	4	computational	computational	ADJ
cana-1238	31	5	power	power	NOUN
cana-1238	31	6	of	of	ADP
cana-1238	31	7	algorithms	algorithm	NOUN
cana-1238	31	8	and	and	CCONJ
cana-1238	31	9	the	the	DET
cana-1238	31	10	creative	creative	ADJ
cana-1238	31	11	vision	vision	NOUN
cana-1238	31	12	of	of	ADP
cana-1238	31	13	artists	artist	NOUN
cana-1238	31	14	and	and	CCONJ
cana-1238	31	15	designers	designer	NOUN
cana-1238	31	16	combine	combine	VERB
cana-1238	31	17	to	to	PART
cana-1238	31	18	create	create	VERB
cana-1238	31	19	3d	3d	NUM
cana-1238	31	20	models	model	NOUN
cana-1238	31	21	that	that	PRON
cana-1238	31	22	are	be	AUX
cana-1238	31	23	incredibly	incredibly	ADV
cana-1238	31	24	dynamic	dynamic	ADJ
cana-1238	31	25	and	and	CCONJ
cana-1238	31	26	realistic	realistic	ADJ
cana-1238	31	27	.	.	PUNCT
cana-1238	32	1	however	however	ADV
cana-1238	32	2	,	,	PUNCT
cana-1238	32	3	the	the	DET
cana-1238	32	4	process	process	NOUN
cana-1238	32	5	culminates	culminate	VERB
cana-1238	32	6	in	in	ADP
cana-1238	32	7	the	the	DET
cana-1238	32	8	production	production	NOUN
cana-1238	32	9	of	of	ADP
cana-1238	32	10	engrossing	engross	VERB
cana-1238	32	11	videos	video	NOUN
cana-1238	32	12	that	that	PRON
cana-1238	32	13	breathe	breathe	VERB
cana-1238	32	14	life	life	NOUN
cana-1238	32	15	into	into	ADP
cana-1238	32	16	these	these	DET
cana-1238	32	17	3d	3d	NUM
cana-1238	32	18	landscapes	landscape	NOUN
cana-1238	32	19	rather	rather	ADV
cana-1238	32	20	than	than	ADP
cana-1238	32	21	with	with	ADP
cana-1238	32	22	static	static	ADJ
cana-1238	32	23	models	model	NOUN
cana-1238	32	24	[	[	X
cana-1238	32	25	15	15	NUM
cana-1238	32	26	]	]	PUNCT
cana-1238	32	27	.	.	PUNCT
cana-1238	33	1	by	by	ADP
cana-1238	33	2	utilizing	utilize	VERB
cana-1238	33	3	blender	blender	NOUN
cana-1238	33	4	's	's	PART
cana-1238	33	5	rendering	rendering	NOUN
cana-1238	33	6	skills	skill	NOUN
cana-1238	33	7	,	,	PUNCT
cana-1238	33	8	the	the	DET
cana-1238	33	9	reconstructed	reconstructed	ADJ
cana-1238	33	10	scenes	scene	NOUN
cana-1238	33	11	are	be	AUX
cana-1238	33	12	painstakingly	painstakingly	ADV
cana-1238	33	13	captured	capture	VERB
cana-1238	33	14	frame	frame	NOUN
cana-1238	33	15	by	by	ADP
cana-1238	33	16	frame	frame	NOUN
cana-1238	33	17	and	and	CCONJ
cana-1238	33	18	expertly	expertly	ADV
cana-1238	33	19	incorporated	incorporate	VERB
cana-1238	33	20	into	into	ADP
cana-1238	33	21	a	a	DET
cana-1238	33	22	narrative	narrative	NOUN
cana-1238	33	23	and	and	CCONJ
cana-1238	33	24	motion	motion	NOUN
cana-1238	33	25	fabric	fabric	NOUN
cana-1238	33	26	.	.	PUNCT
cana-1238	34	1	ultimately	ultimately	ADV
cana-1238	34	2	,	,	PUNCT
cana-1238	34	3	the	the	DET
cana-1238	34	4	result	result	NOUN
cana-1238	34	5	of	of	ADP
cana-1238	34	6	this	this	DET
cana-1238	34	7	procedure	procedure	NOUN
cana-1238	34	8	is	be	AUX
cana-1238	34	9	the	the	DET
cana-1238	34	10	creation	creation	NOUN
cana-1238	34	11	of	of	ADP
cana-1238	34	12	mp4	mp4	NOUN
cana-1238	34	13	films	film	NOUN
cana-1238	34	14	,	,	PUNCT
cana-1238	34	15	which	which	PRON
cana-1238	34	16	capture	capture	VERB
cana-1238	34	17	the	the	DET
cana-1238	34	18	essence	essence	NOUN
cana-1238	34	19	of	of	ADP
cana-1238	34	20	the	the	DET
cana-1238	34	21	original	original	ADJ
cana-1238	34	22	2d	2d	NOUN
cana-1238	34	23	photographs	photograph	NOUN
cana-1238	34	24	that	that	PRON
cana-1238	34	25	are	be	AUX
cana-1238	34	26	converted	convert	VERB
cana-1238	34	27	into	into	ADP
cana-1238	34	28	captivating	captivate	VERB
cana-1238	34	29	3d	3d	NUM
cana-1238	34	30	landscapes	landscape	NOUN
cana-1238	34	31	.	.	PUNCT
cana-1238	35	1	our	our	PRON
cana-1238	35	2	project	project	NOUN
cana-1238	35	3	seeks	seek	VERB
cana-1238	35	4	to	to	PART
cana-1238	35	5	expand	expand	VERB
cana-1238	35	6	the	the	DET
cana-1238	35	7	frontiers	frontier	NOUN
cana-1238	35	8	of	of	ADP
cana-1238	35	9	3d	3d	PROPN
cana-1238	35	10	model	model	NOUN
cana-1238	35	11	generation	generation	NOUN
cana-1238	35	12	through	through	ADP
cana-1238	35	13	interdisciplinary	interdisciplinary	ADJ
cana-1238	35	14	collaboration	collaboration	NOUN
cana-1238	35	15	and	and	CCONJ
cana-1238	35	16	unrelenting	unrelenting	ADJ
cana-1238	35	17	innovation	innovation	NOUN
cana-1238	35	18	[	[	X
cana-1238	35	19	16	16	NUM
cana-1238	35	20	]	]	PUNCT
cana-1238	35	21	.	.	PUNCT
cana-1238	36	1	we	we	PRON
cana-1238	36	2	aim	aim	VERB
cana-1238	36	3	to	to	PART
cana-1238	36	4	unlock	unlock	VERB
cana-1238	36	5	new	new	ADJ
cana-1238	36	6	vistas	vista	NOUN
cana-1238	36	7	of	of	ADP
cana-1238	36	8	imagination	imagination	NOUN
cana-1238	36	9	and	and	CCONJ
cana-1238	36	10	immersion	immersion	NOUN
cana-1238	36	11	by	by	ADP
cana-1238	36	12	utilizing	utilize	VERB
cana-1238	36	13	the	the	DET
cana-1238	36	14	synergies	synergy	NOUN
cana-1238	36	15	between	between	ADP
cana-1238	36	16	artificial	artificial	ADJ
cana-1238	36	17	intelligence	intelligence	NOUN
cana-1238	36	18	,	,	PUNCT
cana-1238	36	19	computer	computer	NOUN
cana-1238	36	20	graphics	graphic	NOUN
cana-1238	36	21	,	,	PUNCT
cana-1238	36	22	and	and	CCONJ
cana-1238	36	23	creative	creative	ADJ
cana-1238	36	24	expression	expression	NOUN
cana-1238	36	25	.	.	PUNCT
cana-1238	37	1	this	this	PRON
cana-1238	37	2	will	will	AUX
cana-1238	37	3	enable	enable	VERB
cana-1238	37	4	creators	creator	NOUN
cana-1238	37	5	and	and	CCONJ
cana-1238	37	6	enthusiasts	enthusiast	NOUN
cana-1238	37	7	to	to	PART
cana-1238	37	8	leave	leave	VERB
cana-1238	37	9	the	the	DET
cana-1238	37	10	limitations	limitation	NOUN
cana-1238	37	11	of	of	ADP
cana-1238	37	12	the	the	DET
cana-1238	37	13	2d	2d	NUM
cana-1238	37	14	world	world	NOUN
cana-1238	37	15	behind	behind	ADV
cana-1238	37	16	and	and	CCONJ
cana-1238	37	17	venture	venture	VERB
cana-1238	37	18	into	into	ADP
cana-1238	37	19	the	the	DET
cana-1238	37	20	infinite	infinite	ADJ
cana-1238	37	21	world	world	NOUN
cana-1238	37	22	of	of	ADP
cana-1238	37	23	3d	3d	NUM
cana-1238	37	24	exploration	exploration	NOUN
cana-1238	37	25	[	[	X
cana-1238	37	26	17	17	NUM
cana-1238	37	27	]	]	PUNCT
cana-1238	37	28	.	.	PUNCT
cana-1238	38	1	fig	fig	NOUN
cana-1238	38	2	1	1	NUM
cana-1238	38	3	:	:	PUNCT
cana-1238	38	4	system	system	NOUN
cana-1238	38	5	architecture	architecture	NOUN
cana-1238	38	6	postures	posture	VERB
cana-1238	38	7	2	2	NUM
cana-1238	38	8	.	.	PUNCT
cana-1238	39	1	related	relate	VERB
cana-1238	39	2	works	work	NOUN
cana-1238	39	3	rebuilding	rebuild	VERB
cana-1238	39	4	three	three	NUM
cana-1238	39	5	-	-	PUNCT
cana-1238	39	6	dimensional	dimensional	ADJ
cana-1238	39	7	face	face	NOUN
cana-1238	39	8	surfaces	surface	NOUN
cana-1238	39	9	from	from	ADP
cana-1238	39	10	single	single	ADJ
cana-1238	39	11	two	two	NUM
cana-1238	39	12	-	-	PUNCT
cana-1238	39	13	dimensional	dimensional	ADJ
cana-1238	39	14	images	image	NOUN
cana-1238	39	15	using	use	VERB
cana-1238	39	16	statistical	statistical	ADJ
cana-1238	39	17	approach	approach	NOUN
cana-1238	39	18	to	to	ADP
cana-1238	39	19	shading	shade	VERB
cana-1238	39	20	j.	j.	PROPN
cana-1238	39	21	joseph	joseph	PROPN
cana-1238	39	22	atick	atick	PROPN
cana-1238	39	23	griffin	griffin	PROPN
cana-1238	39	24	,	,	PUNCT
cana-1238	40	1	paul	paul	PROPN
cana-1238	40	2	a.	a.	PROPN
cana-1238	40	3	norman	norman	PROPN
cana-1238	40	4	a.	a.	PROPN
cana-1238	40	5	redlich	redlich	PROPN
cana-1238	40	6	[	[	X
cana-1238	40	7	2	2	X
cana-1238	40	8	]	]	PUNCT
cana-1238	40	9	proposed	propose	VERB
cana-1238	40	10	the	the	DET
cana-1238	40	11	ability	ability	NOUN
cana-1238	40	12	of	of	ADP
cana-1238	40	13	the	the	DET
cana-1238	40	14	human	human	ADJ
cana-1238	40	15	retina	retina	NOUN
cana-1238	40	16	to	to	PART
cana-1238	40	17	differentiate	differentiate	VERB
cana-1238	40	18	shapes	shape	NOUN
cana-1238	40	19	in	in	ADP
cana-1238	40	20	three	three	NUM
cana-1238	40	21	-	-	PUNCT
cana-1238	40	22	dimensions	dimension	NOUN
cana-1238	40	23	from	from	ADP
cana-1238	40	24	two	two	NUM
cana-1238	40	25	-	-	PUNCT
cana-1238	40	26	dimensional	dimensional	ADJ
cana-1238	40	27	image	image	NOUN
cana-1238	40	28	shading	shading	NOUN
cana-1238	40	29	characteristics	characteristic	NOUN
cana-1238	40	30	is	be	AUX
cana-1238	40	31	quite	quite	ADV
cana-1238	40	32	good	good	ADJ
cana-1238	40	33	.	.	PUNCT
cana-1238	41	1	then	then	ADV
cana-1238	41	2	,	,	PUNCT
cana-1238	41	3	shape	shape	VERB
cana-1238	41	4	derivation	derivation	NOUN
cana-1238	41	5	from	from	ADP
cana-1238	41	6	shade	shade	NOUN
cana-1238	41	7	is	be	AUX
cana-1238	41	8	equal	equal	ADJ
cana-1238	41	9	to	to	ADP
cana-1238	41	10	the	the	DET
cana-1238	41	11	considerably	considerably	ADV
cana-1238	41	12	easier	easy	ADJ
cana-1238	41	13	task	task	NOUN
cana-1238	41	14	of	of	ADP
cana-1238	41	15	low	low	ADJ
cana-1238	41	16	-	-	PUNCT
cana-1238	41	17	dimensional	dimensional	ADJ
cana-1238	41	18	communications	communication	NOUN
cana-1238	41	19	on	on	ADP
cana-1238	41	20	applied	apply	VERB
cana-1238	41	21	nonlinear	nonlinear	ADJ
cana-1238	41	22	analysis	analysis	NOUN
cana-1238	41	23	issn	issn	NOUN
cana-1238	41	24	:	:	PUNCT
cana-1238	41	25	1074	1074	NUM
cana-1238	41	26	-	-	PUNCT
cana-1238	41	27	133x	133x	NUM
cana-1238	41	28	vol	vol	NOUN
cana-1238	41	29	31	31	NUM
cana-1238	41	30	no	no	NOUN
cana-1238	41	31	.	.	PUNCT
cana-1238	42	1	6s	6s	NUM
cana-1238	42	2	(	(	PUNCT
cana-1238	42	3	2024	2024	NUM
cana-1238	42	4	)	)	PUNCT
cana-1238	42	5	479	479	NUM
cana-1238	42	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1238	42	7	space	space	NOUN
cana-1238	42	8	parameter	parameter	NOUN
cana-1238	42	9	determination	determination	NOUN
cana-1238	42	10	.	.	PUNCT
cana-1238	43	1	we	we	PRON
cana-1238	43	2	implement	implement	VERB
cana-1238	43	3	this	this	DET
cana-1238	43	4	suggestion	suggestion	NOUN
cana-1238	43	5	for	for	ADP
cana-1238	43	6	a	a	DET
cana-1238	43	7	significant	significant	ADJ
cana-1238	43	8	class	class	NOUN
cana-1238	43	9	of	of	ADP
cana-1238	43	10	sculptural	sculptural	NOUN
cana-1238	43	11	(	(	PUNCT
cana-1238	43	12	3d	3d	NOUN
cana-1238	43	13	)	)	PUNCT
cana-1238	43	14	objects	object	VERB
cana-1238	43	15	:	:	PUNCT
cana-1238	43	16	the	the	DET
cana-1238	43	17	heads	head	NOUN
cana-1238	43	18	of	of	ADP
cana-1238	43	19	humans	human	NOUN
cana-1238	43	20	.	.	PUNCT
cana-1238	44	1	using	use	VERB
cana-1238	44	2	this	this	DET
cana-1238	44	3	format	format	NOUN
cana-1238	44	4	,	,	PUNCT
cana-1238	44	5	an	an	DET
cana-1238	44	6	algorithm	algorithm	NOUN
cana-1238	44	7	for	for	ADP
cana-1238	44	8	solving	solve	VERB
cana-1238	44	9	shape	shape	NOUN
cana-1238	44	10	-	-	PUNCT
cana-1238	44	11	from	from	ADP
cana-1238	44	12	-	-	PUNCT
cana-1238	44	13	shading	shading	NOUN
cana-1238	44	14	is	be	AUX
cana-1238	44	15	described	describe	VERB
cana-1238	44	16	.	.	PUNCT
cana-1238	45	1	it	it	PRON
cana-1238	45	2	performs	perform	VERB
cana-1238	45	3	admirably	admirably	ADV
cana-1238	45	4	even	even	ADV
cana-1238	45	5	on	on	ADP
cana-1238	45	6	genuine	genuine	ADJ
cana-1238	45	7	photos	photo	NOUN
cana-1238	45	8	,	,	PUNCT
cana-1238	45	9	recognizing	recognize	VERB
cana-1238	45	10	and	and	CCONJ
cana-1238	45	11	maintaining	maintain	VERB
cana-1238	45	12	facial	facial	ADJ
cana-1238	45	13	features	feature	NOUN
cana-1238	45	14	from	from	ADP
cana-1238	45	15	a	a	DET
cana-1238	45	16	single	single	ADJ
cana-1238	45	17	two	two	NUM
cana-1238	45	18	-	-	PUNCT
cana-1238	45	19	dimensional	dimensional	ADJ
cana-1238	45	20	images	image	NOUN
cana-1238	45	21	of	of	ADP
cana-1238	45	22	a	a	DET
cana-1238	45	23	subject	subject	NOUN
cana-1238	45	24	's	's	PART
cana-1238	45	25	face	face	NOUN
cana-1238	45	26	to	to	PART
cana-1238	45	27	re	re	VERB
cana-1238	45	28	-	-	VERB
cana-1238	45	29	create	create	VERB
cana-1238	45	30	the	the	DET
cana-1238	45	31	individual	individual	NOUN
cana-1238	45	32	's	's	PART
cana-1238	45	33	3d	3d	NUM
cana-1238	45	34	surface	surface	NOUN
cana-1238	45	35	.	.	PUNCT
cana-1238	46	1	[	[	X
cana-1238	46	2	1	1	NUM
cana-1238	46	3	]	]	X
cana-1238	46	4	image	image	NOUN
cana-1238	46	5	-	-	PUNCT
cana-1238	46	6	based	base	VERB
cana-1238	46	7	3d	3d	PROPN
cana-1238	46	8	object	object	NOUN
cana-1238	46	9	reconstruction	reconstruction	NOUN
cana-1238	46	10	:	:	PUNCT
cana-1238	46	11	state	state	NOUN
cana-1238	46	12	-	-	PUNCT
cana-1238	46	13	of	of	ADP
cana-1238	46	14	-	-	PUNCT
cana-1238	46	15	the	the	DET
cana-1238	46	16	-	-	PUNCT
cana-1238	46	17	art	art	NOUN
cana-1238	46	18	and	and	CCONJ
cana-1238	46	19	trends	trend	NOUN
cana-1238	46	20	in	in	ADP
cana-1238	46	21	the	the	DET
cana-1238	46	22	deep	deep	ADJ
cana-1238	46	23	learning	learning	NOUN
cana-1238	46	24	era	era	NOUN
cana-1238	46	25	xian	xian	PROPN
cana-1238	46	26	-	-	PUNCT
cana-1238	46	27	feng	feng	PROPN
cana-1238	46	28	han	han	PROPN
cana-1238	46	29	,	,	PUNCT
cana-1238	46	30	hamid	hamid	PROPN
cana-1238	46	31	laga	laga	PROPN
cana-1238	46	32	,	,	PUNCT
cana-1238	46	33	mohammed	mohammed	PROPN
cana-1238	46	34	bennamoun	bennamoun	PROPN
cana-1238	46	35	for	for	ADP
cana-1238	46	36	several	several	ADJ
cana-1238	46	37	decades	decade	NOUN
cana-1238	46	38	,	,	PUNCT
cana-1238	46	39	the	the	DET
cana-1238	46	40	fields	field	NOUN
cana-1238	46	41	of	of	ADP
cana-1238	46	42	computer	computer	NOUN
cana-1238	46	43	vision	vision	NOUN
cana-1238	46	44	,	,	PUNCT
cana-1238	46	45	computer	computer	NOUN
cana-1238	46	46	graphics	graphic	NOUN
cana-1238	46	47	,	,	PUNCT
cana-1238	46	48	and	and	CCONJ
cana-1238	46	49	machine	machine	NOUN
cana-1238	46	50	learning	learning	NOUN
cana-1238	46	51	have	have	AUX
cana-1238	46	52	been	be	AUX
cana-1238	46	53	investigating	investigate	VERB
cana-1238	46	54	the	the	DET
cana-1238	46	55	ill	ill	ADV
cana-1238	46	56	-	-	PUNCT
cana-1238	46	57	posed	pose	VERB
cana-1238	46	58	problem	problem	NOUN
cana-1238	46	59	of	of	ADP
cana-1238	46	60	3d	3d	PROPN
cana-1238	46	61	reconstruction	reconstruction	NOUN
cana-1238	46	62	.	.	PUNCT
cana-1238	47	1	utilizing	utilize	VERB
cana-1238	47	2	convolutional	convolutional	ADJ
cana-1238	47	3	neural	neural	ADJ
cana-1238	47	4	networks	network	NOUN
cana-1238	47	5	(	(	PUNCT
cana-1238	47	6	cnns	cnns	PROPN
cana-1238	47	7	)	)	PUNCT
cana-1238	47	8	for	for	ADP
cana-1238	47	9	image	image	NOUN
cana-1238	47	10	-	-	PUNCT
cana-1238	47	11	based	base	VERB
cana-1238	47	12	3d	3d	PROPN
cana-1238	47	13	reconstruction	reconstruction	NOUN
cana-1238	47	14	has	have	AUX
cana-1238	47	15	gained	gain	VERB
cana-1238	47	16	significant	significant	ADJ
cana-1238	47	17	attention	attention	NOUN
cana-1238	47	18	and	and	CCONJ
cana-1238	47	19	shown	show	VERB
cana-1238	47	20	remarkable	remarkable	ADJ
cana-1238	47	21	ability	ability	NOUN
cana-1238	47	22	since	since	SCONJ
cana-1238	47	23	2015	2015	NUM
cana-1238	47	24	.	.	PUNCT
cana-1238	48	1	although	although	SCONJ
cana-1238	48	2	the	the	DET
cana-1238	48	3	scope	scope	NOUN
cana-1238	48	4	of	of	ADP
cana-1238	48	5	this	this	DET
cana-1238	48	6	examination	examination	NOUN
cana-1238	48	7	is	be	AUX
cana-1238	48	8	approaches	approach	NOUN
cana-1238	48	9	for	for	ADP
cana-1238	48	10	reconstructing	reconstruct	VERB
cana-1238	48	11	generic	generic	ADJ
cana-1238	48	12	objects	object	NOUN
cana-1238	48	13	,	,	PUNCT
cana-1238	48	14	we	we	PRON
cana-1238	48	15	also	also	ADV
cana-1238	48	16	discuss	discuss	VERB
cana-1238	48	17	several	several	ADJ
cana-1238	48	18	recent	recent	ADJ
cana-1238	48	19	efforts	effort	NOUN
cana-1238	48	20	that	that	PRON
cana-1238	48	21	concentrate	concentrate	VERB
cana-1238	48	22	on	on	ADP
cana-1238	48	23	particular	particular	ADJ
cana-1238	48	24	object	object	NOUN
cana-1238	48	25	classes	class	NOUN
cana-1238	48	26	,	,	PUNCT
cana-1238	48	27	like	like	ADP
cana-1238	48	28	the	the	DET
cana-1238	48	29	faces	face	NOUN
cana-1238	48	30	and	and	CCONJ
cana-1238	48	31	body	body	NOUN
cana-1238	48	32	shapes	shape	NOUN
cana-1238	48	33	of	of	ADP
cana-1238	48	34	humans	human	NOUN
cana-1238	48	35	.	.	PUNCT
cana-1238	49	1	we	we	PRON
cana-1238	49	2	review	review	VERB
cana-1238	49	3	some	some	PRON
cana-1238	49	4	of	of	ADP
cana-1238	49	5	the	the	DET
cana-1238	49	6	outstanding	outstanding	ADJ
cana-1238	49	7	issues	issue	NOUN
cana-1238	49	8	in	in	ADP
cana-1238	49	9	this	this	DET
cana-1238	49	10	subject	subject	NOUN
cana-1238	49	11	,	,	PUNCT
cana-1238	49	12	analyze	analyze	VERB
cana-1238	49	13	and	and	CCONJ
cana-1238	49	14	contrast	contrast	VERB
cana-1238	49	15	the	the	DET
cana-1238	49	16	effectiveness	effectiveness	NOUN
cana-1238	49	17	of	of	ADP
cana-1238	49	18	a	a	DET
cana-1238	49	19	few	few	ADJ
cana-1238	49	20	seminal	seminal	ADJ
cana-1238	49	21	works	work	NOUN
cana-1238	49	22	,	,	PUNCT
cana-1238	49	23	and	and	CCONJ
cana-1238	49	24	talk	talk	VERB
cana-1238	49	25	about	about	ADP
cana-1238	49	26	some	some	DET
cana-1238	49	27	exciting	exciting	ADJ
cana-1238	49	28	new	new	ADJ
cana-1238	49	29	avenues	avenue	NOUN
cana-1238	49	30	for	for	ADP
cana-1238	49	31	further	further	ADJ
cana-1238	49	32	investigation	investigation	NOUN
cana-1238	49	33	.	.	PUNCT
cana-1238	50	1	face	face	NOUN
cana-1238	50	2	detection	detection	NOUN
cana-1238	50	3	and	and	CCONJ
cana-1238	50	4	recognition	recognition	NOUN
cana-1238	50	5	using	use	VERB
cana-1238	50	6	opencv	opencv	PROPN
cana-1238	50	7	maliha	maliha	PROPN
cana-1238	50	8	khan	khan	PROPN
cana-1238	50	9	,	,	PUNCT
cana-1238	50	10	sudeshna	sudeshna	VERB
cana-1238	50	11	chakraborty	chakraborty	NOUN
cana-1238	50	12	,	,	PUNCT
cana-1238	50	13	rani	rani	PROPN
cana-1238	50	14	astya	astya	PROPN
cana-1238	50	15	,	,	PUNCT
cana-1238	50	16	shaveta	shaveta	PROPN
cana-1238	50	17	khepra	khepra	PROPN
cana-1238	50	18	[	[	X
cana-1238	50	19	3,10	3,10	X
cana-1238	50	20	]	]	X
cana-1238	50	21	both	both	CCONJ
cana-1238	50	22	an	an	DET
cana-1238	50	23	attractive	attractive	ADJ
cana-1238	50	24	field	field	NOUN
cana-1238	50	25	and	and	CCONJ
cana-1238	50	26	a	a	DET
cana-1238	50	27	fast	fast	ADJ
cana-1238	50	28	expanding	expand	VERB
cana-1238	50	29	challenge	challenge	NOUN
cana-1238	50	30	surround	surround	NOUN
cana-1238	50	31	face	face	NOUN
cana-1238	50	32	recognition	recognition	NOUN
cana-1238	50	33	in	in	ADP
cana-1238	50	34	real	real	ADJ
cana-1238	50	35	time	time	NOUN
cana-1238	50	36	.	.	PUNCT
cana-1238	51	1	structure	structure	NOUN
cana-1238	51	2	for	for	ADP
cana-1238	51	3	using	use	VERB
cana-1238	51	4	face	face	NOUN
cana-1238	51	5	recognition	recognition	NOUN
cana-1238	51	6	to	to	PART
cana-1238	51	7	authenticate	authenticate	VERB
cana-1238	51	8	applications	application	NOUN
cana-1238	51	9	.	.	PUNCT
cana-1238	52	1	pca	pca	PROPN
cana-1238	52	2	is	be	AUX
cana-1238	52	3	used	use	VERB
cana-1238	52	4	to	to	PART
cana-1238	52	5	create	create	VERB
cana-1238	52	6	a	a	DET
cana-1238	52	7	wide	wide	ADJ
cana-1238	52	8	1	1	NUM
cana-1238	52	9	-	-	PUNCT
cana-1238	52	10	d	d	ADJ
cana-1238	52	11	pixel	pixel	NOUN
cana-1238	52	12	vector	vector	NOUN
cana-1238	52	13	from	from	ADP
cana-1238	52	14	a	a	DET
cana-1238	52	15	2	2	NUM
cana-1238	52	16	-	-	PUNCT
cana-1238	52	17	d	d	NOUN
cana-1238	52	18	face	face	NOUN
cana-1238	52	19	image	image	NOUN
cana-1238	52	20	that	that	PRON
cana-1238	52	21	is	be	AUX
cana-1238	52	22	contained	contain	VERB
cana-1238	52	23	in	in	ADP
cana-1238	52	24	the	the	DET
cana-1238	52	25	compact	compact	ADJ
cana-1238	52	26	primary	primary	ADJ
cana-1238	52	27	elements	element	NOUN
cana-1238	52	28	of	of	ADP
cana-1238	52	29	the	the	DET
cana-1238	52	30	space	space	NOUN
cana-1238	52	31	function	function	NOUN
cana-1238	52	32	.	.	PUNCT
cana-1238	53	1	finding	find	VERB
cana-1238	53	2	the	the	DET
cana-1238	53	3	covariance	covariance	NOUN
cana-1238	53	4	matrix	matrix	NOUN
cana-1238	53	5	's	's	PART
cana-1238	53	6	own	own	ADJ
cana-1238	53	7	vectors	vector	NOUN
cana-1238	53	8	,	,	PUNCT
cana-1238	53	9	which	which	PRON
cana-1238	53	10	are	be	AUX
cana-1238	53	11	centered	center	VERB
cana-1238	53	12	on	on	ADP
cana-1238	53	13	a	a	DET
cana-1238	53	14	set	set	NOUN
cana-1238	53	15	of	of	ADP
cana-1238	53	16	fingerprint	fingerprint	NOUN
cana-1238	53	17	photos	photo	NOUN
cana-1238	53	18	,	,	PUNCT
cana-1238	53	19	allows	allow	VERB
cana-1238	53	20	one	one	NUM
cana-1238	53	21	to	to	PART
cana-1238	53	22	ascertain	ascertain	VERB
cana-1238	53	23	the	the	DET
cana-1238	53	24	appropriate	appropriate	ADJ
cana-1238	53	25	space	space	NOUN
cana-1238	53	26	.	.	PUNCT
cana-1238	54	1	3d	3d	NUM
cana-1238	54	2	face	face	NOUN
cana-1238	54	3	model	model	NOUN
cana-1238	54	4	reconstructing	reconstruct	VERB
cana-1238	54	5	from	from	ADP
cana-1238	54	6	its	its	PRON
cana-1238	54	7	2d	2d	NUM
cana-1238	54	8	images	image	NOUN
cana-1238	54	9	using	use	VERB
cana-1238	54	10	neural	neural	ADJ
cana-1238	54	11	networks	network	NOUN
cana-1238	54	12	oleksandra	oleksandra	PROPN
cana-1238	54	13	aleksandrova	aleksandrova	PROPN
cana-1238	54	14	;	;	PUNCT
cana-1238	54	15	yevgen	yevgen	X
cana-1238	54	16	bashkov	bashkov	VERB
cana-1238	55	1	[	[	X
cana-1238	55	2	4	4	NUM
cana-1238	55	3	,	,	PUNCT
cana-1238	55	4	7	7	NUM
cana-1238	55	5	]	]	PUNCT
cana-1238	55	6	the	the	DET
cana-1238	55	7	most	most	ADV
cana-1238	55	8	popular	popular	ADJ
cana-1238	55	9	techniques	technique	NOUN
cana-1238	55	10	for	for	ADP
cana-1238	55	11	reconstructing	reconstruct	VERB
cana-1238	55	12	3d	3d	NUM
cana-1238	55	13	face	face	NOUN
cana-1238	55	14	models	model	NOUN
cana-1238	55	15	are	be	AUX
cana-1238	55	16	taken	take	VERB
cana-1238	55	17	into	into	ADP
cana-1238	55	18	account	account	NOUN
cana-1238	55	19	,	,	PUNCT
cana-1238	55	20	their	their	PRON
cana-1238	55	21	quantitative	quantitative	ADJ
cana-1238	55	22	estimates	estimate	NOUN
cana-1238	55	23	are	be	AUX
cana-1238	55	24	examined	examine	VERB
cana-1238	55	25	and	and	CCONJ
cana-1238	55	26	established	establish	VERB
cana-1238	55	27	,	,	PUNCT
cana-1238	55	28	and	and	CCONJ
cana-1238	55	29	the	the	DET
cana-1238	55	30	3d	3d	PROPN
cana-1238	55	31	morphable	morphable	ADJ
cana-1238	55	32	model	model	NOUN
cana-1238	55	33	is	be	AUX
cana-1238	55	34	shown	show	VERB
cana-1238	55	35	to	to	PART
cana-1238	55	36	be	be	AUX
cana-1238	55	37	the	the	DET
cana-1238	55	38	most	most	ADV
cana-1238	55	39	promising	promising	ADJ
cana-1238	55	40	way	way	NOUN
cana-1238	55	41	.	.	PUNCT
cana-1238	56	1	one	one	NUM
cana-1238	56	2	benefit	benefit	NOUN
cana-1238	56	3	of	of	ADP
cana-1238	56	4	combining	combine	VERB
cana-1238	56	5	the	the	DET
cana-1238	56	6	major	major	ADJ
cana-1238	56	7	component	component	NOUN
cana-1238	56	8	analysis	analysis	NOUN
cana-1238	56	9	with	with	ADP
cana-1238	56	10	the	the	DET
cana-1238	56	11	3d	3d	NUM
cana-1238	56	12	morphable	morphable	ADJ
cana-1238	56	13	model	model	NOUN
cana-1238	56	14	is	be	AUX
cana-1238	56	15	that	that	SCONJ
cana-1238	56	16	,	,	PUNCT
cana-1238	56	17	in	in	ADP
cana-1238	56	18	cases	case	NOUN
cana-1238	56	19	when	when	SCONJ
cana-1238	56	20	the	the	DET
cana-1238	56	21	space	space	NOUN
cana-1238	56	22	of	of	ADP
cana-1238	56	23	possible	possible	ADJ
cana-1238	56	24	solutions	solution	NOUN
cana-1238	56	25	is	be	AUX
cana-1238	56	26	constrained	constrain	VERB
cana-1238	56	27	,	,	PUNCT
cana-1238	56	28	the	the	DET
cana-1238	56	29	problem	problem	NOUN
cana-1238	56	30	can	can	AUX
cana-1238	56	31	be	be	AUX
cana-1238	56	32	simplified	simplify	VERB
cana-1238	56	33	by	by	ADP
cana-1238	56	34	representing	represent	VERB
cana-1238	56	35	only	only	ADV
cana-1238	56	36	a	a	DET
cana-1238	56	37	likely	likely	ADJ
cana-1238	56	38	option	option	NOUN
cana-1238	56	39	.	.	PUNCT
cana-1238	57	1	although	although	SCONJ
cana-1238	57	2	manual	manual	ADJ
cana-1238	57	3	initialization	initialization	NOUN
cana-1238	57	4	is	be	AUX
cana-1238	57	5	a	a	DET
cana-1238	57	6	part	part	NOUN
cana-1238	57	7	of	of	ADP
cana-1238	57	8	the	the	DET
cana-1238	57	9	original	original	ADJ
cana-1238	57	10	method	method	NOUN
cana-1238	57	11	.	.	PUNCT
cana-1238	58	1	the	the	DET
cana-1238	58	2	primary	primary	ADJ
cana-1238	58	3	outcome	outcome	NOUN
cana-1238	58	4	is	be	AUX
cana-1238	58	5	a	a	DET
cana-1238	58	6	method	method	NOUN
cana-1238	58	7	with	with	ADP
cana-1238	58	8	a	a	DET
cana-1238	58	9	low	low	ADJ
cana-1238	58	10	time	time	NOUN
cana-1238	58	11	and	and	CCONJ
cana-1238	58	12	acceptable	acceptable	ADJ
cana-1238	58	13	root	root	NOUN
cana-1238	58	14	mean	mean	NOUN
cana-1238	58	15	square	square	ADJ
cana-1238	58	16	error	error	NOUN
cana-1238	58	17	for	for	ADP
cana-1238	58	18	generating	generate	VERB
cana-1238	58	19	stereoscopic	stereoscopic	ADJ
cana-1238	58	20	face	face	NOUN
cana-1238	58	21	models	model	NOUN
cana-1238	58	22	from	from	ADP
cana-1238	58	23	their	their	PRON
cana-1238	58	24	2d	2d	ADJ
cana-1238	58	25	photos[26][24	photos[26][24	PROPN
cana-1238	58	26	]	]	PUNCT
cana-1238	58	27	.	.	PUNCT
cana-1238	59	1	refining	refine	VERB
cana-1238	59	2	human	human	PROPN
cana-1238	59	3	3d	3d	PROPN
cana-1238	59	4	reconstruction	reconstruction	NOUN
cana-1238	59	5	from	from	ADP
cana-1238	59	6	2d	2d	NUM
cana-1238	59	7	images	image	NOUN
cana-1238	59	8	muhammad	muhammad	PRON
cana-1238	59	9	fadil	fadil	PROPN
cana-1238	59	10	maulana	maulana	PROPN
cana-1238	59	11	akbar	akbar	NOUN
cana-1238	59	12	;	;	PUNCT
cana-1238	59	13	bedy	bedy	PROPN
cana-1238	59	14	purnama	purnama	PROPN
cana-1238	59	15	;	;	PUNCT
cana-1238	59	16	edward	edward	PROPN
cana-1238	59	17	ferdian	ferdian	PROPN
cana-1238	60	1	[	[	X
cana-1238	60	2	5	5	NUM
cana-1238	60	3	,	,	PUNCT
cana-1238	60	4	8	8	NUM
cana-1238	60	5	]	]	PUNCT
cana-1238	60	6	in	in	ADP
cana-1238	60	7	this	this	DET
cana-1238	60	8	study	study	NOUN
cana-1238	60	9	,	,	PUNCT
cana-1238	60	10	we	we	PRON
cana-1238	60	11	applied	apply	VERB
cana-1238	60	12	a	a	DET
cana-1238	60	13	differentiated	differentiated	ADJ
cana-1238	60	14	strategy	strategy	NOUN
cana-1238	60	15	to	to	PART
cana-1238	60	16	refine	refine	VERB
cana-1238	60	17	both	both	DET
cana-1238	60	18	pifu	pifu	NOUN
cana-1238	60	19	and	and	CCONJ
cana-1238	60	20	icon	icon	NOUN
cana-1238	60	21	,	,	PUNCT
cana-1238	60	22	and	and	CCONJ
cana-1238	60	23	we	we	PRON
cana-1238	60	24	compared	compare	VERB
cana-1238	60	25	the	the	DET
cana-1238	60	26	obtained	obtain	VERB
cana-1238	60	27	outcomes	outcome	NOUN
cana-1238	60	28	to	to	ADP
cana-1238	60	29	the	the	DET
cana-1238	60	30	original	original	ADJ
cana-1238	60	31	method	method	NOUN
cana-1238	60	32	.	.	PUNCT
cana-1238	61	1	our	our	PRON
cana-1238	61	2	efforts	effort	NOUN
cana-1238	61	3	paid	pay	VERB
cana-1238	61	4	off	off	ADP
cana-1238	61	5	;	;	PUNCT
cana-1238	61	6	according	accord	VERB
cana-1238	61	7	to	to	ADP
cana-1238	61	8	the	the	DET
cana-1238	61	9	findings	finding	NOUN
cana-1238	61	10	of	of	ADP
cana-1238	61	11	our	our	PRON
cana-1238	61	12	thorough	thorough	ADJ
cana-1238	61	13	evaluation	evaluation	NOUN
cana-1238	61	14	,	,	PUNCT
cana-1238	61	15	both	both	PRON
cana-1238	61	16	of	of	ADP
cana-1238	61	17	the	the	DET
cana-1238	61	18	improved	improved	ADJ
cana-1238	61	19	versions	version	NOUN
cana-1238	61	20	outperformed	outperform	VERB
cana-1238	61	21	the	the	DET
cana-1238	61	22	corresponding	correspond	VERB
cana-1238	61	23	original	original	ADJ
cana-1238	61	24	approaches	approach	NOUN
cana-1238	61	25	.	.	PUNCT
cana-1238	62	1	due	due	ADP
cana-1238	62	2	to	to	ADP
cana-1238	62	3	the	the	DET
cana-1238	62	4	usage	usage	NOUN
cana-1238	62	5	of	of	ADP
cana-1238	62	6	smpl	smpl	NOUN
cana-1238	62	7	-	-	PUNCT
cana-1238	62	8	x	x	NOUN
cana-1238	62	9	for	for	ADP
cana-1238	62	10	precise	precise	ADJ
cana-1238	62	11	underclothing	underclothing	NOUN
cana-1238	62	12	body	body	NOUN
cana-1238	62	13	shape	shape	NOUN
cana-1238	62	14	estimate	estimate	NOUN
cana-1238	62	15	,	,	PUNCT
cana-1238	62	16	the	the	DET
cana-1238	62	17	improved	improved	ADJ
cana-1238	62	18	version	version	NOUN
cana-1238	62	19	of	of	ADP
cana-1238	62	20	icon	icon	NOUN
cana-1238	62	21	shown	show	VERB
cana-1238	62	22	a	a	DET
cana-1238	62	23	remarkable	remarkable	ADJ
cana-1238	62	24	skill	skill	NOUN
cana-1238	62	25	in	in	ADP
cana-1238	62	26	body	body	NOUN
cana-1238	62	27	postures	posture	VERB
cana-1238	62	28	reconstruction	reconstruction	NOUN
cana-1238	62	29	.	.	PUNCT
cana-1238	63	1	with	with	SCONJ
cana-1238	63	2	communications	communication	NOUN
cana-1238	63	3	on	on	ADP
cana-1238	63	4	applied	apply	VERB
cana-1238	63	5	nonlinear	nonlinear	ADJ
cana-1238	63	6	analysis	analysis	NOUN
cana-1238	63	7	issn	issn	NOUN
cana-1238	63	8	:	:	PUNCT
cana-1238	63	9	1074	1074	NUM
cana-1238	63	10	-	-	PUNCT
cana-1238	63	11	133x	133x	NUM
cana-1238	63	12	vol	vol	NOUN
cana-1238	63	13	31	31	NUM
cana-1238	63	14	no	no	NOUN
cana-1238	63	15	.	.	PUNCT
cana-1238	64	1	6s	6s	NUM
cana-1238	64	2	(	(	PUNCT
cana-1238	64	3	2024	2024	NUM
cana-1238	64	4	)	)	PUNCT
cana-1238	64	5	480	480	NUM
cana-1238	64	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1238	64	7	comparison	comparison	NOUN
cana-1238	64	8	,	,	PUNCT
cana-1238	64	9	texture	texture	ADJ
cana-1238	64	10	rendering	rendering	NOUN
cana-1238	64	11	was	be	AUX
cana-1238	64	12	greatly	greatly	ADV
cana-1238	64	13	enhanced	enhance	VERB
cana-1238	64	14	with	with	ADP
cana-1238	64	15	the	the	DET
cana-1238	64	16	more	more	ADV
cana-1238	64	17	sophisticated	sophisticated	ADJ
cana-1238	64	18	pifu	pifu	NOUN
cana-1238	64	19	approach	approach	NOUN
cana-1238	64	20	.	.	PUNCT
cana-1238	65	1	these	these	DET
cana-1238	65	2	findings	finding	NOUN
cana-1238	65	3	demonstrate	demonstrate	VERB
cana-1238	65	4	how	how	SCONJ
cana-1238	65	5	both	both	DET
cana-1238	65	6	approaches	approach	VERB
cana-1238	65	7	complement	complement	VERB
cana-1238	65	8	one	one	NUM
cana-1238	65	9	another	another	DET
cana-1238	65	10	,	,	PUNCT
cana-1238	65	11	improving	improve	VERB
cana-1238	65	12	the	the	DET
cana-1238	65	13	state	state	NOUN
cana-1238	65	14	of	of	ADP
cana-1238	65	15	3d	3d	PROPN
cana-1238	65	16	reconstruction	reconstruction	NOUN
cana-1238	65	17	from	from	ADP
cana-1238	65	18	single	single	ADJ
cana-1238	65	19	-	-	PUNCT
cana-1238	65	20	view	view	NOUN
cana-1238	65	21	2d	2d	NOUN
cana-1238	65	22	photos	photo	NOUN
cana-1238	65	23	and	and	CCONJ
cana-1238	65	24	its	its	PRON
cana-1238	65	25	uses	use	NOUN
cana-1238	65	26	in	in	ADP
cana-1238	65	27	augmented	augment	VERB
cana-1238	65	28	reality	reality	NOUN
cana-1238	65	29	,	,	PUNCT
cana-1238	65	30	3d	3d	NUM
cana-1238	65	31	modeling	modeling	NOUN
cana-1238	65	32	,	,	PUNCT
cana-1238	65	33	and	and	CCONJ
cana-1238	65	34	other	other	ADJ
cana-1238	65	35	domains[23][25	domains[23][25	PROPN
cana-1238	65	36	]	]	PUNCT
cana-1238	65	37	.	.	PUNCT
cana-1238	66	1	3d	3d	PROPN
cana-1238	66	2	pose	pose	NOUN
cana-1238	66	3	estimation	estimation	NOUN
cana-1238	66	4	based	base	VERB
cana-1238	66	5	on	on	ADP
cana-1238	66	6	reinforce	reinforce	NOUN
cana-1238	66	7	learning	learn	VERB
cana-1238	66	8	for	for	ADP
cana-1238	66	9	2d	2d	NUM
cana-1238	66	10	image	image	NOUN
cana-1238	66	11	-	-	PUNCT
cana-1238	66	12	based	base	VERB
cana-1238	66	13	3d	3d	PROPN
cana-1238	66	14	model	model	PROPN
cana-1238	66	15	retrieval	retrieval	PROPN
cana-1238	66	16	wei	wei	PROPN
cana-1238	66	17	-	-	PROPN
cana-1238	66	18	zhi	zhi	PROPN
cana-1238	66	19	nie	nie	PROPN
cana-1238	66	20	;	;	PUNCT
cana-1238	66	21	wen	wen	PROPN
cana-1238	66	22	-	-	PROPN
cana-1238	66	23	wu	wu	PROPN
cana-1238	66	24	jia	jia	PROPN
cana-1238	66	25	;	;	PUNCT
cana-1238	66	26	wen	wen	PROPN
cana-1238	66	27	-	-	PROPN
cana-1238	66	28	hui	hui	PROPN
cana-1238	66	29	li	li	PROPN
cana-1238	66	30	;	;	PUNCT
cana-1238	66	31	an	an	DET
cana-1238	66	32	-	-	PUNCT
cana-1238	66	33	an	an	DET
cana-1238	66	34	liu	liu	PROPN
cana-1238	66	35	;	;	PUNCT
cana-1238	66	36	si	si	PROPN
cana-1238	66	37	-	-	PROPN
cana-1238	66	38	cheng	cheng	PROPN
cana-1238	66	39	zhao	zhao	PROPN
cana-1238	67	1	[	[	X
cana-1238	67	2	6	6	NUM
cana-1238	67	3	,	,	PUNCT
cana-1238	67	4	9	9	NUM
cana-1238	67	5	]	]	PUNCT
cana-1238	67	6	we	we	PRON
cana-1238	67	7	solve	solve	VERB
cana-1238	67	8	the	the	DET
cana-1238	67	9	2d	2d	NUM
cana-1238	67	10	image	image	NOUN
cana-1238	67	11	-	-	PUNCT
cana-1238	67	12	based	base	VERB
cana-1238	67	13	three	three	NUM
cana-1238	67	14	dimensional	dimensional	ADJ
cana-1238	67	15	object	object	NOUN
cana-1238	67	16	extraction	extraction	NOUN
cana-1238	67	17	problem	problem	NOUN
cana-1238	67	18	in	in	ADP
cana-1238	67	19	this	this	DET
cana-1238	67	20	study	study	NOUN
cana-1238	67	21	by	by	ADP
cana-1238	67	22	introducing	introduce	VERB
cana-1238	67	23	a	a	DET
cana-1238	67	24	novel	novel	ADJ
cana-1238	67	25	characteristic	characteristic	ADJ
cana-1238	67	26	view	view	NOUN
cana-1238	67	27	selection	selection	NOUN
cana-1238	67	28	model	model	NOUN
cana-1238	67	29	(	(	PUNCT
cana-1238	67	30	cvsm	cvsm	NOUN
cana-1238	67	31	)	)	PUNCT
cana-1238	67	32	.	.	PUNCT
cana-1238	68	1	the	the	DET
cana-1238	68	2	new	new	ADJ
cana-1238	68	3	reinforcement	reinforcement	NOUN
cana-1238	68	4	learning	learning	NOUN
cana-1238	68	5	model	model	NOUN
cana-1238	68	6	that	that	PRON
cana-1238	68	7	is	be	AUX
cana-1238	68	8	proposed	propose	VERB
cana-1238	68	9	in	in	ADP
cana-1238	68	10	this	this	DET
cana-1238	68	11	study	study	NOUN
cana-1238	68	12	to	to	PART
cana-1238	68	13	estimate	estimate	VERB
cana-1238	68	14	the	the	DET
cana-1238	68	15	3d	3d	NOUN
cana-1238	68	16	pose	pose	VERB
cana-1238	68	17	from	from	ADP
cana-1238	68	18	a	a	DET
cana-1238	68	19	2d	2d	NUM
cana-1238	68	20	image	image	NOUN
cana-1238	68	21	and	and	CCONJ
cana-1238	68	22	the	the	DET
cana-1238	68	23	posturespecific	posturespecific	ADJ
cana-1238	68	24	model	model	NOUN
cana-1238	68	25	that	that	PRON
cana-1238	68	26	is	be	AUX
cana-1238	68	27	rendered	render	VERB
cana-1238	68	28	to	to	PART
cana-1238	68	29	produce	produce	VERB
cana-1238	68	30	a	a	DET
cana-1238	68	31	representative	representative	ADJ
cana-1238	68	32	angle	angle	NOUN
cana-1238	68	33	view	view	NOUN
cana-1238	68	34	for	for	ADP
cana-1238	68	35	retrieval	retrieval	NOUN
cana-1238	68	36	applications	application	NOUN
cana-1238	68	37	are	be	AUX
cana-1238	68	38	two	two	NUM
cana-1238	68	39	of	of	ADP
cana-1238	68	40	its	its	PRON
cana-1238	68	41	main	main	ADJ
cana-1238	68	42	contributions	contribution	NOUN
cana-1238	68	43	.	.	PUNCT
cana-1238	69	1	using	use	VERB
cana-1238	69	2	the	the	DET
cana-1238	69	3	reinforcement	reinforcement	NOUN
cana-1238	69	4	learning	learning	NOUN
cana-1238	69	5	framework	framework	NOUN
cana-1238	69	6	,	,	PUNCT
cana-1238	69	7	we	we	PRON
cana-1238	69	8	first	first	ADV
cana-1238	69	9	establish	establish	VERB
cana-1238	69	10	the	the	DET
cana-1238	69	11	state	state	NOUN
cana-1238	69	12	,	,	PUNCT
cana-1238	69	13	policy	policy	NOUN
cana-1238	69	14	,	,	PUNCT
cana-1238	69	15	action	action	NOUN
cana-1238	69	16	,	,	PUNCT
cana-1238	69	17	and	and	CCONJ
cana-1238	69	18	reward	reward	NOUN
cana-1238	69	19	functions	function	NOUN
cana-1238	69	20	in	in	ADP
cana-1238	69	21	order	order	NOUN
cana-1238	69	22	to	to	PART
cana-1238	69	23	train	train	VERB
cana-1238	69	24	the	the	DET
cana-1238	69	25	agent	agent	NOUN
cana-1238	69	26	.	.	PUNCT
cana-1238	70	1	to	to	PART
cana-1238	70	2	tackle	tackle	VERB
cana-1238	70	3	the	the	DET
cana-1238	70	4	issue	issue	NOUN
cana-1238	70	5	of	of	ADP
cana-1238	70	6	calculating	calculate	VERB
cana-1238	70	7	cross	cross	ADJ
cana-1238	70	8	-	-	ADJ
cana-1238	70	9	domain	domain	ADJ
cana-1238	70	10	similarity	similarity	NOUN
cana-1238	70	11	between	between	ADP
cana-1238	70	12	the	the	DET
cana-1238	70	13	real	real	ADJ
cana-1238	70	14	query	query	NOUN
cana-1238	70	15	image	image	NOUN
cana-1238	70	16	and	and	CCONJ
cana-1238	70	17	the	the	DET
cana-1238	70	18	virtual	virtual	ADJ
cana-1238	70	19	3d	3d	PROPN
cana-1238	70	20	model	model	NOUN
cana-1238	70	21	view	view	NOUN
cana-1238	70	22	is	be	AUX
cana-1238	70	23	the	the	DET
cana-1238	70	24	second	second	ADJ
cana-1238	70	25	goal[20][21	goal[20][21	PROPN
cana-1238	70	26	]	]	PUNCT
cana-1238	70	27	.	.	PUNCT
cana-1238	71	1	3	3	X
cana-1238	71	2	.	.	X
cana-1238	71	3	existing	exist	VERB
cana-1238	71	4	system	system	NOUN
cana-1238	71	5	the	the	DET
cana-1238	71	6	system	system	NOUN
cana-1238	71	7	begins	begin	VERB
cana-1238	71	8	with	with	ADP
cana-1238	71	9	image	image	NOUN
cana-1238	71	10	preprocessing	preprocessing	NOUN
cana-1238	71	11	using	use	VERB
cana-1238	71	12	python	python	NOUN
cana-1238	71	13	libraries	library	NOUN
cana-1238	71	14	such	such	ADJ
cana-1238	71	15	as	as	ADP
cana-1238	71	16	opencv	opencv	PROPN
cana-1238	71	17	and	and	CCONJ
cana-1238	71	18	numpy	numpy	NOUN
cana-1238	71	19	.	.	PUNCT
cana-1238	72	1	this	this	DET
cana-1238	72	2	step	step	NOUN
cana-1238	72	3	involves	involve	VERB
cana-1238	72	4	tasks	task	NOUN
cana-1238	72	5	like	like	ADP
cana-1238	72	6	resizing	resizing	NOUN
cana-1238	72	7	,	,	PUNCT
cana-1238	72	8	normalization	normalization	NOUN
cana-1238	72	9	,	,	PUNCT
cana-1238	72	10	and	and	CCONJ
cana-1238	72	11	feature	feature	NOUN
cana-1238	72	12	extraction	extraction	NOUN
cana-1238	72	13	to	to	PART
cana-1238	72	14	prepare	prepare	VERB
cana-1238	72	15	the	the	DET
cana-1238	72	16	2d	2d	NUM
cana-1238	72	17	image	image	NOUN
cana-1238	72	18	for	for	ADP
cana-1238	72	19	3d	3d	NUM
cana-1238	72	20	modeling	modeling	NOUN
cana-1238	72	21	.	.	PUNCT
cana-1238	73	1	the	the	DET
cana-1238	73	2	system	system	NOUN
cana-1238	73	3	leverages	leverage	VERB
cana-1238	73	4	a	a	DET
cana-1238	73	5	pre	pre	ADJ
cana-1238	73	6	-	-	ADJ
cana-1238	73	7	trained	train	VERB
cana-1238	73	8	deep	deep	ADJ
cana-1238	73	9	learning	learning	NOUN
cana-1238	73	10	model	model	NOUN
cana-1238	73	11	implemented	implement	VERB
cana-1238	73	12	in	in	ADP
cana-1238	73	13	pytorch	pytorch	NOUN
cana-1238	73	14	for	for	ADP
cana-1238	73	15	3d	3d	NOUN
cana-1238	73	16	reconstruction	reconstruction	NOUN
cana-1238	73	17	from	from	ADP
cana-1238	73	18	2d	2d	NUM
cana-1238	73	19	images	image	NOUN
cana-1238	73	20	.	.	PUNCT
cana-1238	74	1	this	this	DET
cana-1238	74	2	model	model	NOUN
cana-1238	74	3	,	,	PUNCT
cana-1238	74	4	trained	train	VERB
cana-1238	74	5	on	on	ADP
cana-1238	74	6	large	large	ADJ
cana-1238	74	7	datasets	dataset	NOUN
cana-1238	74	8	,	,	PUNCT
cana-1238	74	9	can	can	AUX
cana-1238	74	10	infer	infer	VERB
cana-1238	74	11	3d	3d	NUM
cana-1238	74	12	geometry	geometry	NOUN
cana-1238	74	13	,	,	PUNCT
cana-1238	74	14	textures	texture	NOUN
cana-1238	74	15	,	,	PUNCT
cana-1238	74	16	and	and	CCONJ
cana-1238	74	17	depth	depth	NOUN
cana-1238	74	18	information	information	NOUN
cana-1238	74	19	from	from	ADP
cana-1238	74	20	the	the	DET
cana-1238	74	21	input	input	NOUN
cana-1238	74	22	images	image	NOUN
cana-1238	74	23	.	.	PUNCT
cana-1238	75	1	using	use	VERB
cana-1238	75	2	pytorch	pytorch	NOUN
cana-1238	75	3	's	's	PART
cana-1238	75	4	capabilities	capability	NOUN
cana-1238	75	5	,	,	PUNCT
cana-1238	75	6	the	the	DET
cana-1238	75	7	preprocessed	preprocesse	VERB
cana-1238	75	8	image	image	NOUN
cana-1238	75	9	is	be	AUX
cana-1238	75	10	fed	feed	VERB
cana-1238	75	11	into	into	ADP
cana-1238	75	12	the	the	DET
cana-1238	75	13	pretrained	pretraine	VERB
cana-1238	75	14	neural	neural	ADJ
cana-1238	75	15	network	network	NOUN
cana-1238	75	16	for	for	ADP
cana-1238	75	17	inference	inference	NOUN
cana-1238	75	18	.	.	PUNCT
cana-1238	76	1	the	the	DET
cana-1238	76	2	model	model	NOUN
cana-1238	76	3	predicts	predict	VERB
cana-1238	76	4	the	the	DET
cana-1238	76	5	3d	3d	NUM
cana-1238	76	6	structure	structure	NOUN
cana-1238	76	7	and	and	CCONJ
cana-1238	76	8	features	feature	NOUN
cana-1238	76	9	based	base	VERB
cana-1238	76	10	on	on	ADP
cana-1238	76	11	learned	learn	VERB
cana-1238	76	12	patterns	pattern	NOUN
cana-1238	76	13	and	and	CCONJ
cana-1238	76	14	representations	representation	NOUN
cana-1238	76	15	[	[	X
cana-1238	76	16	18][25][27	18][25][27	NOUN
cana-1238	76	17	]	]	PUNCT
cana-1238	76	18	.	.	PUNCT
cana-1238	77	1	the	the	DET
cana-1238	77	2	inferred	infer	VERB
cana-1238	77	3	3d	3d	PROPN
cana-1238	77	4	information	information	NOUN
cana-1238	77	5	is	be	AUX
cana-1238	77	6	then	then	ADV
cana-1238	77	7	used	use	VERB
cana-1238	77	8	to	to	PART
cana-1238	77	9	reconstruct	reconstruct	VERB
cana-1238	77	10	a	a	DET
cana-1238	77	11	3d	3d	NUM
cana-1238	77	12	model	model	NOUN
cana-1238	77	13	representation	representation	NOUN
cana-1238	77	14	of	of	ADP
cana-1238	77	15	the	the	DET
cana-1238	77	16	object	object	NOUN
cana-1238	77	17	or	or	CCONJ
cana-1238	77	18	scene	scene	NOUN
cana-1238	77	19	depicted	depict	VERB
cana-1238	77	20	in	in	ADP
cana-1238	77	21	the	the	DET
cana-1238	77	22	input	input	NOUN
cana-1238	77	23	2d	2d	NUM
cana-1238	77	24	image	image	NOUN
cana-1238	77	25	.	.	PUNCT
cana-1238	78	1	this	this	DET
cana-1238	78	2	process	process	NOUN
cana-1238	78	3	involves	involve	VERB
cana-1238	78	4	converting	convert	VERB
cana-1238	78	5	the	the	DET
cana-1238	78	6	predicted	predict	VERB
cana-1238	78	7	data	datum	NOUN
cana-1238	78	8	into	into	ADP
cana-1238	78	9	a	a	DET
cana-1238	78	10	suitable	suitable	ADJ
cana-1238	78	11	3d	3d	NUM
cana-1238	78	12	format	format	NOUN
cana-1238	78	13	compatible	compatible	ADJ
cana-1238	78	14	with	with	ADP
cana-1238	78	15	blender	blender	NOUN
cana-1238	78	16	.	.	PUNCT
cana-1238	79	1	the	the	DET
cana-1238	79	2	generated	generate	VERB
cana-1238	79	3	3d	3d	PROPN
cana-1238	79	4	model	model	NOUN
cana-1238	79	5	data	datum	NOUN
cana-1238	79	6	is	be	AUX
cana-1238	79	7	imported	import	VERB
cana-1238	79	8	into	into	ADP
cana-1238	79	9	blender	blender	NOUN
cana-1238	79	10	,	,	PUNCT
cana-1238	79	11	a	a	DET
cana-1238	79	12	powerful	powerful	ADJ
cana-1238	79	13	open	open	ADJ
cana-1238	79	14	-	-	PUNCT
cana-1238	79	15	source	source	NOUN
cana-1238	79	16	3d	3d	NOUN
cana-1238	79	17	creation	creation	NOUN
cana-1238	79	18	suite	suite	NOUN
cana-1238	79	19	.	.	PUNCT
cana-1238	80	1	blender	blender	NOUN
cana-1238	80	2	provides	provide	VERB
cana-1238	80	3	tools	tool	NOUN
cana-1238	80	4	for	for	ADP
cana-1238	80	5	mesh	mesh	NOUN
cana-1238	80	6	manipulation	manipulation	NOUN
cana-1238	80	7	,	,	PUNCT
cana-1238	80	8	texture	texture	NOUN
cana-1238	80	9	mapping	mapping	NOUN
cana-1238	80	10	,	,	PUNCT
cana-1238	80	11	and	and	CCONJ
cana-1238	80	12	scene	scene	NOUN
cana-1238	80	13	setup	setup	NOUN
cana-1238	80	14	necessary	necessary	ADJ
cana-1238	80	15	for	for	ADP
cana-1238	80	16	rendering	rendering	NOUN
cana-1238	80	17	and	and	CCONJ
cana-1238	80	18	animation	animation	NOUN
cana-1238	80	19	.	.	PUNCT
cana-1238	81	1	once	once	SCONJ
cana-1238	81	2	the	the	DET
cana-1238	81	3	3d	3d	PROPN
cana-1238	81	4	model	model	NOUN
cana-1238	81	5	is	be	AUX
cana-1238	81	6	imported	import	VERB
cana-1238	81	7	,	,	PUNCT
cana-1238	81	8	blender	blender	NOUN
cana-1238	81	9	's	's	PART
cana-1238	81	10	rendering	rendering	NOUN
cana-1238	81	11	engine	engine	NOUN
cana-1238	81	12	is	be	AUX
cana-1238	81	13	employed	employ	VERB
cana-1238	81	14	to	to	PART
cana-1238	81	15	create	create	VERB
cana-1238	81	16	high	high	ADJ
cana-1238	81	17	-	-	PUNCT
cana-1238	81	18	quality	quality	NOUN
cana-1238	81	19	visual	visual	ADJ
cana-1238	81	20	outputs	output	NOUN
cana-1238	81	21	.	.	PUNCT
cana-1238	82	1	materials	material	NOUN
cana-1238	82	2	,	,	PUNCT
cana-1238	82	3	lighting	lighting	NOUN
cana-1238	82	4	,	,	PUNCT
cana-1238	82	5	and	and	CCONJ
cana-1238	82	6	camera	camera	NOUN
cana-1238	82	7	settings	setting	NOUN
cana-1238	82	8	are	be	AUX
cana-1238	82	9	configured	configure	VERB
cana-1238	82	10	to	to	PART
cana-1238	82	11	achieve	achieve	VERB
cana-1238	82	12	desired	desire	VERB
cana-1238	82	13	aesthetics	aesthetic	NOUN
cana-1238	83	1	[	[	X
cana-1238	83	2	19][28][29	19][28][29	X
cana-1238	83	3	]	]	X
cana-1238	83	4	.	.	PUNCT
cana-1238	84	1	animation	animation	NOUN
cana-1238	84	2	scripts	script	NOUN
cana-1238	84	3	or	or	CCONJ
cana-1238	84	4	keyframes	keyframe	NOUN
cana-1238	84	5	can	can	AUX
cana-1238	84	6	be	be	AUX
cana-1238	84	7	added	add	VERB
cana-1238	84	8	for	for	ADP
cana-1238	84	9	dynamic	dynamic	ADJ
cana-1238	84	10	scenes	scene	NOUN
cana-1238	84	11	.	.	PUNCT
cana-1238	85	1	finally	finally	ADV
cana-1238	85	2	,	,	PUNCT
cana-1238	85	3	blender	blender	NOUN
cana-1238	85	4	's	's	PART
cana-1238	85	5	capabilities	capability	NOUN
cana-1238	85	6	are	be	AUX
cana-1238	85	7	utilized	utilize	VERB
cana-1238	85	8	to	to	PART
cana-1238	85	9	render	render	VERB
cana-1238	85	10	the	the	DET
cana-1238	85	11	3d	3d	ADJ
cana-1238	85	12	scene	scene	NOUN
cana-1238	85	13	as	as	ADP
cana-1238	85	14	a	a	DET
cana-1238	85	15	sequence	sequence	NOUN
cana-1238	85	16	of	of	ADP
cana-1238	85	17	frames	frame	NOUN
cana-1238	85	18	,	,	PUNCT
cana-1238	85	19	which	which	PRON
cana-1238	85	20	are	be	AUX
cana-1238	85	21	then	then	ADV
cana-1238	85	22	compiled	compile	VERB
cana-1238	85	23	into	into	ADP
cana-1238	85	24	an	an	DET
cana-1238	85	25	mp4	mp4	NOUN
cana-1238	85	26	video	video	NOUN
cana-1238	85	27	format	format	NOUN
cana-1238	85	28	using	use	VERB
cana-1238	85	29	python	python	NOUN
cana-1238	85	30	scripting	scripting	NOUN
cana-1238	85	31	within	within	ADP
cana-1238	85	32	blender	blender	NOUN
cana-1238	85	33	or	or	CCONJ
cana-1238	85	34	external	external	ADJ
cana-1238	85	35	libraries	library	NOUN
cana-1238	85	36	.	.	PUNCT
cana-1238	86	1	this	this	DET
cana-1238	86	2	video	video	NOUN
cana-1238	86	3	output	output	NOUN
cana-1238	86	4	showcases	showcase	VERB
cana-1238	86	5	the	the	DET
cana-1238	86	6	3d	3d	NUM
cana-1238	86	7	model	model	NOUN
cana-1238	86	8	from	from	ADP
cana-1238	86	9	different	different	ADJ
cana-1238	86	10	angles	angle	NOUN
cana-1238	86	11	,	,	PUNCT
cana-1238	86	12	possibly	possibly	ADV
cana-1238	86	13	with	with	ADP
cana-1238	86	14	added	add	VERB
cana-1238	86	15	effects	effect	NOUN
cana-1238	86	16	or	or	CCONJ
cana-1238	86	17	transitions	transition	NOUN
cana-1238	86	18	.	.	PUNCT
cana-1238	87	1	the	the	DET
cana-1238	87	2	system	system	NOUN
cana-1238	87	3	may	may	AUX
cana-1238	87	4	include	include	VERB
cana-1238	87	5	optimization	optimization	NOUN
cana-1238	87	6	techniques	technique	NOUN
cana-1238	87	7	to	to	PART
cana-1238	87	8	improve	improve	VERB
cana-1238	87	9	rendering	render	VERB
cana-1238	87	10	speed	speed	NOUN
cana-1238	87	11	or	or	CCONJ
cana-1238	87	12	reduce	reduce	VERB
cana-1238	87	13	memory	memory	NOUN
cana-1238	87	14	usage	usage	NOUN
cana-1238	87	15	during	during	ADP
cana-1238	87	16	3d	3d	PROPN
cana-1238	87	17	model	model	NOUN
cana-1238	87	18	generation	generation	NOUN
cana-1238	87	19	and	and	CCONJ
cana-1238	87	20	video	video	NOUN
cana-1238	87	21	rendering	rendering	NOUN
cana-1238	87	22	.	.	PUNCT
cana-1238	88	1	post	post	ADJ
cana-1238	88	2	-	-	ADJ
cana-1238	88	3	processing	processing	ADJ
cana-1238	88	4	effects	effect	NOUN
cana-1238	88	5	such	such	ADJ
cana-1238	88	6	as	as	ADP
cana-1238	88	7	color	color	NOUN
cana-1238	88	8	correction	correction	NOUN
cana-1238	88	9	or	or	CCONJ
cana-1238	88	10	compositing	compositing	NOUN
cana-1238	88	11	can	can	AUX
cana-1238	88	12	also	also	ADV
cana-1238	88	13	be	be	AUX
cana-1238	88	14	applied	apply	VERB
cana-1238	88	15	to	to	PART
cana-1238	88	16	enhance	enhance	VERB
cana-1238	88	17	the	the	DET
cana-1238	88	18	final	final	ADJ
cana-1238	88	19	video	video	NOUN
cana-1238	88	20	output	output	NOUN
cana-1238	88	21	.	.	PUNCT
cana-1238	89	1	depending	depend	VERB
cana-1238	89	2	on	on	ADP
cana-1238	89	3	the	the	DET
cana-1238	89	4	system	system	NOUN
cana-1238	89	5	's	's	PART
cana-1238	89	6	design	design	NOUN
cana-1238	89	7	,	,	PUNCT
cana-1238	89	8	users	user	NOUN
cana-1238	89	9	may	may	AUX
cana-1238	89	10	have	have	VERB
cana-1238	89	11	options	option	NOUN
cana-1238	89	12	to	to	PART
cana-1238	89	13	interactively	interactively	ADV
cana-1238	89	14	modify	modify	VERB
cana-1238	89	15	parameters	parameter	NOUN
cana-1238	89	16	such	such	ADJ
cana-1238	89	17	as	as	ADP
cana-1238	89	18	model	model	NOUN
cana-1238	89	19	details	detail	NOUN
cana-1238	89	20	,	,	PUNCT
cana-1238	89	21	camera	camera	NOUN
cana-1238	89	22	perspectives	perspective	NOUN
cana-1238	89	23	,	,	PUNCT
cana-1238	89	24	or	or	CCONJ
cana-1238	89	25	animation	animation	NOUN
cana-1238	89	26	sequences	sequence	NOUN
cana-1238	89	27	before	before	ADP
cana-1238	89	28	generating	generate	VERB
cana-1238	89	29	the	the	DET
cana-1238	89	30	final	final	ADJ
cana-1238	89	31	video	video	NOUN
cana-1238	89	32	output	output	NOUN
cana-1238	89	33	.	.	PUNCT
cana-1238	90	1	comprehensive	comprehensive	ADJ
cana-1238	90	2	documentation	documentation	NOUN
cana-1238	90	3	and	and	CCONJ
cana-1238	90	4	tutorials	tutorial	NOUN
cana-1238	90	5	are	be	AUX
cana-1238	90	6	provided	provide	VERB
cana-1238	90	7	for	for	SCONJ
cana-1238	90	8	users	user	NOUN
cana-1238	90	9	to	to	PART
cana-1238	90	10	understand	understand	VERB
cana-1238	90	11	and	and	CCONJ
cana-1238	90	12	utilize	utilize	VERB
cana-1238	90	13	the	the	DET
cana-1238	90	14	system	system	NOUN
cana-1238	90	15	effectively	effectively	ADV
cana-1238	90	16	.	.	PUNCT
cana-1238	91	1	deployment	deployment	NOUN
cana-1238	91	2	strategies	strategy	NOUN
cana-1238	91	3	ensure	ensure	VERB
cana-1238	91	4	compatibility	compatibility	NOUN
cana-1238	91	5	across	across	ADP
cana-1238	91	6	platforms	platform	NOUN
cana-1238	91	7	and	and	CCONJ
cana-1238	91	8	environments	environment	NOUN
cana-1238	91	9	for	for	ADP
cana-1238	91	10	widespread	widespread	ADJ
cana-1238	91	11	adoption	adoption	NOUN
cana-1238	91	12	and	and	CCONJ
cana-1238	91	13	usage	usage	NOUN
cana-1238	91	14	.	.	PUNCT
cana-1238	92	1	continuous	continuous	ADJ
cana-1238	92	2	updates	update	NOUN
cana-1238	92	3	and	and	CCONJ
cana-1238	92	4	communications	communication	NOUN
cana-1238	92	5	on	on	ADP
cana-1238	92	6	applied	apply	VERB
cana-1238	92	7	nonlinear	nonlinear	ADJ
cana-1238	92	8	analysis	analysis	NOUN
cana-1238	92	9	issn	issn	NOUN
cana-1238	92	10	:	:	PUNCT
cana-1238	92	11	1074	1074	NUM
cana-1238	92	12	-	-	PUNCT
cana-1238	92	13	133x	133x	NUM
cana-1238	92	14	vol	vol	NOUN
cana-1238	92	15	31	31	NUM
cana-1238	92	16	no	no	NOUN
cana-1238	92	17	.	.	PUNCT
cana-1238	93	1	6s	6s	NUM
cana-1238	93	2	(	(	PUNCT
cana-1238	93	3	2024	2024	NUM
cana-1238	93	4	)	)	PUNCT
cana-1238	94	1	481	481	NUM
cana-1238	94	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1238	94	3	enhancements	enhancement	NOUN
cana-1238	94	4	to	to	ADP
cana-1238	94	5	the	the	DET
cana-1238	94	6	system	system	NOUN
cana-1238	94	7	may	may	AUX
cana-1238	94	8	include	include	VERB
cana-1238	94	9	incorporating	incorporate	VERB
cana-1238	94	10	newer	new	ADJ
cana-1238	94	11	deep	deep	ADJ
cana-1238	94	12	learning	learning	NOUN
cana-1238	94	13	architectures	architecture	NOUN
cana-1238	94	14	,	,	PUNCT
cana-1238	94	15	improving	improve	VERB
cana-1238	94	16	rendering	rendering	NOUN
cana-1238	94	17	techniques	technique	NOUN
cana-1238	94	18	,	,	PUNCT
cana-1238	94	19	expanding	expand	VERB
cana-1238	94	20	model	model	NOUN
cana-1238	94	21	compatibility	compatibility	NOUN
cana-1238	94	22	,	,	PUNCT
cana-1238	94	23	and	and	CCONJ
cana-1238	94	24	optimizing	optimize	VERB
cana-1238	94	25	performance	performance	NOUN
cana-1238	94	26	for	for	ADP
cana-1238	94	27	real	real	ADJ
cana-1238	94	28	-	-	PUNCT
cana-1238	94	29	time	time	NOUN
cana-1238	94	30	applications	application	NOUN
cana-1238	94	31	or	or	CCONJ
cana-1238	94	32	cloud	cloud	NOUN
cana-1238	94	33	-	-	PUNCT
cana-1238	94	34	based	base	VERB
cana-1238	94	35	services[30][31][32][33	services[30][31][32][33	PROPN
cana-1238	94	36	]	]	PUNCT
cana-1238	94	37	.	.	PUNCT
cana-1238	95	1	4	4	X
cana-1238	95	2	.	.	NUM
cana-1238	95	3	proposed	propose	VERB
cana-1238	95	4	system	system	NOUN
cana-1238	95	5	the	the	DET
cana-1238	95	6	proposed	propose	VERB
cana-1238	95	7	system	system	NOUN
cana-1238	95	8	aims	aim	VERB
cana-1238	95	9	to	to	PART
cana-1238	95	10	streamline	streamline	VERB
cana-1238	95	11	the	the	DET
cana-1238	95	12	process	process	NOUN
cana-1238	95	13	of	of	ADP
cana-1238	95	14	generating	generate	VERB
cana-1238	95	15	high	high	ADJ
cana-1238	95	16	-	-	PUNCT
cana-1238	95	17	quality	quality	NOUN
cana-1238	95	18	3d	3d	NOUN
cana-1238	95	19	models	model	NOUN
cana-1238	95	20	from	from	ADP
cana-1238	95	21	2d	2d	NUM
cana-1238	95	22	images	image	NOUN
cana-1238	95	23	by	by	ADP
cana-1238	95	24	leveraging	leverage	VERB
cana-1238	95	25	the	the	DET
cana-1238	95	26	combined	combine	VERB
cana-1238	95	27	capabilities	capability	NOUN
cana-1238	95	28	of	of	ADP
cana-1238	95	29	pytorch	pytorch	NOUN
cana-1238	95	30	,	,	PUNCT
cana-1238	95	31	blender	blender	NOUN
cana-1238	95	32	,	,	PUNCT
cana-1238	95	33	and	and	CCONJ
cana-1238	95	34	python	python	NOUN
cana-1238	95	35	.	.	PUNCT
cana-1238	96	1	the	the	DET
cana-1238	96	2	workflow	workflow	NOUN
cana-1238	96	3	begins	begin	VERB
cana-1238	96	4	with	with	ADP
cana-1238	96	5	the	the	DET
cana-1238	96	6	image	image	NOUN
cana-1238	96	7	preprocessing	preprocessing	NOUN
cana-1238	96	8	module	module	NOUN
cana-1238	96	9	,	,	PUNCT
cana-1238	96	10	where	where	SCONJ
cana-1238	96	11	input	input	NOUN
cana-1238	96	12	2d	2d	NOUN
cana-1238	96	13	images	image	NOUN
cana-1238	96	14	undergo	undergo	VERB
cana-1238	96	15	resizing	resizing	NOUN
cana-1238	96	16	,	,	PUNCT
cana-1238	96	17	color	color	NOUN
cana-1238	96	18	normalization	normalization	NOUN
cana-1238	96	19	,	,	PUNCT
cana-1238	96	20	and	and	CCONJ
cana-1238	96	21	enhancement	enhancement	NOUN
cana-1238	96	22	using	use	VERB
cana-1238	96	23	opencv	opencv	PROPN
cana-1238	96	24	and	and	CCONJ
cana-1238	96	25	numpy	numpy	NOUN
cana-1238	96	26	libraries	library	NOUN
cana-1238	96	27	in	in	ADP
cana-1238	96	28	python	python	PROPN
cana-1238	96	29	.	.	PUNCT
cana-1238	97	1	these	these	DET
cana-1238	97	2	preprocessed	preprocesse	VERB
cana-1238	97	3	images	image	NOUN
cana-1238	97	4	are	be	AUX
cana-1238	97	5	then	then	ADV
cana-1238	97	6	fed	feed	VERB
cana-1238	97	7	into	into	ADP
cana-1238	97	8	the	the	DET
cana-1238	97	9	deep	deep	ADJ
cana-1238	97	10	learning	learning	NOUN
cana-1238	97	11	model	model	NOUN
cana-1238	97	12	module	module	NOUN
cana-1238	97	13	,	,	PUNCT
cana-1238	97	14	which	which	PRON
cana-1238	97	15	employs	employ	VERB
cana-1238	97	16	a	a	DET
cana-1238	97	17	pre	pre	ADJ
cana-1238	97	18	-	-	ADJ
cana-1238	97	19	trained	train	VERB
cana-1238	97	20	deep	deep	ADJ
cana-1238	97	21	learning	learning	NOUN
cana-1238	97	22	model	model	NOUN
cana-1238	97	23	in	in	ADP
cana-1238	97	24	pytorch	pytorch	NOUN
cana-1238	97	25	specifically	specifically	ADV
cana-1238	97	26	trained	train	VERB
cana-1238	97	27	for	for	ADP
cana-1238	97	28	3d	3d	NUM
cana-1238	97	29	reconstruction	reconstruction	NOUN
cana-1238	97	30	tasks	task	NOUN
cana-1238	97	31	.	.	PUNCT
cana-1238	98	1	the	the	DET
cana-1238	98	2	model	model	NOUN
cana-1238	98	3	extracts	extract	VERB
cana-1238	98	4	intricate	intricate	ADJ
cana-1238	98	5	features	feature	NOUN
cana-1238	98	6	,	,	PUNCT
cana-1238	98	7	including	include	VERB
cana-1238	98	8	geometry	geometry	NOUN
cana-1238	98	9	,	,	PUNCT
cana-1238	98	10	texture	texture	NOUN
cana-1238	98	11	,	,	PUNCT
cana-1238	98	12	and	and	CCONJ
cana-1238	98	13	depth	depth	NOUN
cana-1238	98	14	information	information	NOUN
cana-1238	98	15	,	,	PUNCT
cana-1238	98	16	to	to	PART
cana-1238	98	17	predict	predict	VERB
cana-1238	98	18	accurate	accurate	ADJ
cana-1238	98	19	3d	3d	PROPN
cana-1238	98	20	model	model	NOUN
cana-1238	98	21	representations	representation	NOUN
cana-1238	98	22	.	.	PUNCT
cana-1238	99	1	subsequently	subsequently	ADV
cana-1238	99	2	,	,	PUNCT
cana-1238	99	3	the	the	DET
cana-1238	99	4	3d	3d	PROPN
cana-1238	99	5	model	model	NOUN
cana-1238	99	6	reconstruction	reconstruction	NOUN
cana-1238	99	7	module	module	NOUN
cana-1238	99	8	translates	translate	VERB
cana-1238	99	9	these	these	DET
cana-1238	99	10	predicted	predict	VERB
cana-1238	99	11	parameters	parameter	NOUN
cana-1238	99	12	into	into	ADP
cana-1238	99	13	a	a	DET
cana-1238	99	14	compatible	compatible	ADJ
cana-1238	99	15	format	format	NOUN
cana-1238	99	16	for	for	ADP
cana-1238	99	17	blender	blender	NOUN
cana-1238	99	18	,	,	PUNCT
cana-1238	99	19	where	where	SCONJ
cana-1238	99	20	the	the	DET
cana-1238	99	21	actual	actual	ADJ
cana-1238	99	22	3d	3d	PROPN
cana-1238	99	23	mesh	mesh	NOUN
cana-1238	99	24	representation	representation	NOUN
cana-1238	99	25	is	be	AUX
cana-1238	99	26	created	create	VERB
cana-1238	99	27	and	and	CCONJ
cana-1238	99	28	enriched	enrich	VERB
cana-1238	99	29	with	with	ADP
cana-1238	99	30	materials	material	NOUN
cana-1238	99	31	and	and	CCONJ
cana-1238	99	32	textures	texture	NOUN
cana-1238	99	33	based	base	VERB
cana-1238	99	34	on	on	ADP
cana-1238	99	35	the	the	DET
cana-1238	99	36	extracted	extract	VERB
cana-1238	99	37	features	feature	NOUN
cana-1238	99	38	.	.	PUNCT
cana-1238	100	1	blender	blender	NOUN
cana-1238	100	2	's	's	PART
cana-1238	100	3	powerful	powerful	ADJ
cana-1238	100	4	rendering	rendering	NOUN
cana-1238	100	5	engine	engine	NOUN
cana-1238	100	6	is	be	AUX
cana-1238	100	7	then	then	ADV
cana-1238	100	8	utilized	utilize	VERB
cana-1238	100	9	to	to	PART
cana-1238	100	10	render	render	VERB
cana-1238	100	11	high	high	ADJ
cana-1238	100	12	-	-	PUNCT
cana-1238	100	13	quality	quality	NOUN
cana-1238	100	14	frames	frame	NOUN
cana-1238	100	15	of	of	ADP
cana-1238	100	16	the	the	DET
cana-1238	100	17	3d	3d	PROPN
cana-1238	100	18	scene	scene	NOUN
cana-1238	100	19	,	,	PUNCT
cana-1238	100	20	orchestrated	orchestrate	VERB
cana-1238	100	21	by	by	ADP
cana-1238	100	22	python	python	NOUN
cana-1238	100	23	scripts	script	NOUN
cana-1238	100	24	within	within	ADP
cana-1238	100	25	blender	blender	NOUN
cana-1238	100	26	.	.	PUNCT
cana-1238	101	1	these	these	DET
cana-1238	101	2	rendered	render	VERB
cana-1238	101	3	frames	frame	NOUN
cana-1238	101	4	are	be	AUX
cana-1238	101	5	seamlessly	seamlessly	ADV
cana-1238	101	6	compiled	compile	VERB
cana-1238	101	7	into	into	ADP
cana-1238	101	8	an	an	DET
cana-1238	101	9	mp4	mp4	NOUN
cana-1238	101	10	video	video	NOUN
cana-1238	101	11	format	format	NOUN
cana-1238	101	12	,	,	PUNCT
cana-1238	101	13	providing	provide	VERB
cana-1238	101	14	a	a	DET
cana-1238	101	15	comprehensive	comprehensive	ADJ
cana-1238	101	16	visual	visual	ADJ
cana-1238	101	17	representation	representation	NOUN
cana-1238	101	18	of	of	ADP
cana-1238	101	19	the	the	DET
cana-1238	101	20	generated	generate	VERB
cana-1238	101	21	3d	3d	PROPN
cana-1238	101	22	model	model	NOUN
cana-1238	101	23	from	from	ADP
cana-1238	101	24	various	various	ADJ
cana-1238	101	25	perspectives	perspective	NOUN
cana-1238	101	26	.	.	PUNCT
cana-1238	102	1	optional	optional	ADJ
cana-1238	102	2	user	user	NOUN
cana-1238	102	3	interfaces	interface	NOUN
cana-1238	102	4	can	can	AUX
cana-1238	102	5	enhance	enhance	VERB
cana-1238	102	6	interactivity	interactivity	NOUN
cana-1238	102	7	and	and	CCONJ
cana-1238	102	8	customization	customization	NOUN
cana-1238	102	9	,	,	PUNCT
cana-1238	102	10	while	while	SCONJ
cana-1238	102	11	optimization	optimization	NOUN
cana-1238	102	12	strategies	strategy	NOUN
cana-1238	102	13	ensure	ensure	VERB
cana-1238	102	14	efficient	efficient	ADJ
cana-1238	102	15	processing	processing	NOUN
cana-1238	102	16	and	and	CCONJ
cana-1238	102	17	performance	performance	NOUN
cana-1238	102	18	.	.	PUNCT
cana-1238	103	1	documentation	documentation	NOUN
cana-1238	103	2	and	and	CCONJ
cana-1238	103	3	sharing	sharing	NOUN
cana-1238	103	4	mechanisms	mechanism	NOUN
cana-1238	103	5	facilitate	facilitate	VERB
cana-1238	103	6	usability	usability	NOUN
cana-1238	103	7	,	,	PUNCT
cana-1238	103	8	collaboration	collaboration	NOUN
cana-1238	103	9	,	,	PUNCT
cana-1238	103	10	and	and	CCONJ
cana-1238	103	11	future	future	ADJ
cana-1238	103	12	enhancements	enhancement	NOUN
cana-1238	103	13	of	of	ADP
cana-1238	103	14	the	the	DET
cana-1238	103	15	system	system	NOUN
cana-1238	103	16	within	within	ADP
cana-1238	103	17	the	the	DET
cana-1238	103	18	computer	computer	NOUN
cana-1238	103	19	graphics	graphic	NOUN
cana-1238	103	20	and	and	CCONJ
cana-1238	103	21	ai	ai	VERB
cana-1238	103	22	development	development	NOUN
cana-1238	103	23	communities	community	NOUN
cana-1238	103	24	.	.	PUNCT
cana-1238	104	1	5	5	X
cana-1238	104	2	.	.	X
cana-1238	104	3	system	system	NOUN
cana-1238	104	4	architecture	architecture	NOUN
cana-1238	104	5	fig-2	fig-2	NOUN
cana-1238	104	6	:	:	PUNCT
cana-1238	104	7	architecture	architecture	NOUN
cana-1238	104	8	6	6	NUM
cana-1238	104	9	.	.	PUNCT
cana-1238	104	10	methodology	methodology	NOUN
cana-1238	104	11	in	in	ADP
cana-1238	104	12	the	the	DET
cana-1238	104	13	configuration	configuration	NOUN
cana-1238	104	14	of	of	ADP
cana-1238	104	15	input	input	NOUN
cana-1238	104	16	and	and	CCONJ
cana-1238	104	17	image	image	NOUN
cana-1238	104	18	preprocessing	preprocessing	NOUN
cana-1238	104	19	phase	phase	NOUN
cana-1238	104	20	,	,	PUNCT
cana-1238	104	21	where	where	SCONJ
cana-1238	104	22	input	input	NOUN
cana-1238	104	23	2d	2d	NOUN
cana-1238	104	24	images	image	NOUN
cana-1238	104	25	undergo	undergo	VERB
cana-1238	104	26	standardization	standardization	NOUN
cana-1238	104	27	and	and	CCONJ
cana-1238	104	28	enhancement	enhancement	NOUN
cana-1238	104	29	using	use	VERB
cana-1238	104	30	python	python	NOUN
cana-1238	104	31	libraries	library	NOUN
cana-1238	104	32	like	like	ADP
cana-1238	104	33	opencv	opencv	NOUN
cana-1238	104	34	and	and	CCONJ
cana-1238	104	35	numpy	numpy	NOUN
cana-1238	104	36	.	.	PUNCT
cana-1238	105	1	this	this	DET
cana-1238	105	2	step	step	NOUN
cana-1238	105	3	ensures	ensure	VERB
cana-1238	105	4	consistent	consistent	ADJ
cana-1238	105	5	resolution	resolution	NOUN
cana-1238	105	6	,	,	PUNCT
cana-1238	105	7	color	color	NOUN
cana-1238	105	8	normalization	normalization	NOUN
cana-1238	105	9	,	,	PUNCT
cana-1238	105	10	and	and	CCONJ
cana-1238	105	11	improved	improve	VERB
cana-1238	105	12	feature	feature	NOUN
cana-1238	105	13	extraction	extraction	NOUN
cana-1238	105	14	for	for	ADP
cana-1238	105	15	subsequent	subsequent	ADJ
cana-1238	105	16	processing	processing	NOUN
cana-1238	105	17	stages	stage	NOUN
cana-1238	105	18	.	.	PUNCT
cana-1238	106	1	communications	communication	NOUN
cana-1238	106	2	on	on	ADP
cana-1238	106	3	applied	apply	VERB
cana-1238	106	4	nonlinear	nonlinear	ADJ
cana-1238	106	5	analysis	analysis	NOUN
cana-1238	106	6	issn	issn	NOUN
cana-1238	106	7	:	:	PUNCT
cana-1238	106	8	1074	1074	NUM
cana-1238	106	9	-	-	PUNCT
cana-1238	106	10	133x	133x	NUM
cana-1238	106	11	vol	vol	NOUN
cana-1238	106	12	31	31	NUM
cana-1238	106	13	no	no	NOUN
cana-1238	106	14	.	.	PUNCT
cana-1238	107	1	6s	6s	NUM
cana-1238	107	2	(	(	PUNCT
cana-1238	107	3	2024	2024	NUM
cana-1238	107	4	)	)	PUNCT
cana-1238	107	5	482	482	NUM
cana-1238	108	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1238	108	2	algorithm	algorithm	NOUN
cana-1238	108	3	:	:	PUNCT
cana-1238	108	4	configure	configure	NOUN
cana-1238	108	5	input	input	NOUN
cana-1238	108	6	and	and	CCONJ
cana-1238	108	7	pre	pre	ADJ
cana-1238	108	8	-	-	ADJ
cana-1238	108	9	processing	processing	ADJ
cana-1238	108	10	input	input	NOUN
cana-1238	108	11	begin	begin	VERB
cana-1238	108	12	step-1	step-1	PROPN
cana-1238	108	13	:	:	PUNCT
cana-1238	108	14	import	import	VERB
cana-1238	108	15	the	the	DET
cana-1238	108	16	repository	repository	NOUN
cana-1238	108	17	files	file	NOUN
cana-1238	108	18	into	into	ADP
cana-1238	108	19	workspace	workspace	NOUN
cana-1238	108	20	using	use	VERB
cana-1238	108	21	the	the	DET
cana-1238	108	22	github	github	PROPN
cana-1238	108	23	repository	repository	NOUN
cana-1238	108	24	link	link	PROPN
cana-1238	108	25	.	.	PUNCT
cana-1238	109	1	step-2	step-2	PROPN
cana-1238	109	2	:	:	PUNCT
cana-1238	109	3	change	change	VERB
cana-1238	109	4	the	the	DET
cana-1238	109	5	current	current	ADJ
cana-1238	109	6	working	work	VERB
cana-1238	109	7	directory	directory	NOUN
cana-1238	109	8	to	to	ADP
cana-1238	109	9	'	'	PUNCT
cana-1238	109	10	sample_images	sample_image	NOUN
cana-1238	109	11	'	'	PART
cana-1238	109	12	in	in	ADP
cana-1238	109	13	the	the	DET
cana-1238	109	14	repository	repository	NOUN
cana-1238	109	15	.	.	PUNCT
cana-1238	110	1	import	import	NOUN
cana-1238	110	2	'	'	PUNCT
cana-1238	110	3	files	file	NOUN
cana-1238	110	4	'	'	PART
cana-1238	110	5	module	module	NOUN
cana-1238	110	6	from	from	ADP
cana-1238	110	7	'	'	PUNCT
cana-1238	110	8	google.colab	google.colab	PROPN
cana-1238	110	9	'	'	PUNCT
cana-1238	110	10	package	package	NOUN
cana-1238	110	11	.	.	PUNCT
cana-1238	111	1	step-3	step-3	NOUN
cana-1238	111	2	:	:	PUNCT
cana-1238	111	3	upload	upload	VERB
cana-1238	111	4	files	file	NOUN
cana-1238	111	5	with	with	ADP
cana-1238	111	6	'	'	PUNCT
cana-1238	111	7	files.upload	files.upload	NOUN
cana-1238	111	8	(	(	PUNCT
cana-1238	111	9	)	)	PUNCT
cana-1238	111	10	'	'	PUNCT
cana-1238	111	11	along	along	ADV
cana-1238	111	12	with	with	ADP
cana-1238	111	13	'	'	PUNCT
cana-1238	111	14	.keys	.key	NOUN
cana-1238	111	15	(	(	PUNCT
cana-1238	111	16	)	)	PUNCT
cana-1238	111	17	'	'	PUNCT
cana-1238	111	18	to	to	PART
cana-1238	111	19	retrieve	retrieve	VERB
cana-1238	111	20	dictionary	dictionary	ADJ
cana-1238	111	21	files	file	NOUN
cana-1238	111	22	and	and	CCONJ
cana-1238	111	23	'	'	PUNCT
cana-1238	111	24	list	list	NOUN
cana-1238	111	25	(	(	PUNCT
cana-1238	111	26	)	)	PUNCT
cana-1238	111	27	'	'	PUNCT
cana-1238	111	28	for	for	ADP
cana-1238	111	29	converting	convert	VERB
cana-1238	111	30	keys	key	NOUN
cana-1238	111	31	into	into	ADP
cana-1238	111	32	a	a	DET
cana-1238	111	33	list	list	NOUN
cana-1238	111	34	.	.	PUNCT
cana-1238	112	1	step-4	step-4	NUM
cana-1238	112	2	:	:	PUNCT
cana-1238	112	3	import	import	NOUN
cana-1238	112	4	'	'	PUNCT
cana-1238	112	5	os	os	NOUN
cana-1238	112	6	'	'	PUNCT
cana-1238	112	7	module	module	NOUN
cana-1238	112	8	for	for	ADP
cana-1238	112	9	functions	function	NOUN
cana-1238	112	10	interacting	interact	VERB
cana-1238	112	11	with	with	ADP
cana-1238	112	12	operating	operating	NOUN
cana-1238	112	13	system	system	NOUN
cana-1238	112	14	.	.	PUNCT
cana-1238	113	1	try	try	AUX
cana-1238	113	2	set	set	VERB
cana-1238	113	3	the	the	DET
cana-1238	113	4	variable	variable	ADJ
cana-1238	113	5	'	'	PUNCT
cana-1238	113	6	image_path	image_path	NOUN
cana-1238	113	7	'	'	PUNCT
cana-1238	113	8	.	.	PUNCT
cana-1238	114	1	if	if	SCONJ
cana-1238	114	2	the	the	DET
cana-1238	114	3	path	path	NOUN
cana-1238	114	4	does	do	AUX
cana-1238	114	5	n't	not	PART
cana-1238	114	6	exist	exist	VERB
cana-1238	114	7	,	,	PUNCT
cana-1238	114	8	set	set	VERB
cana-1238	114	9	the	the	DET
cana-1238	114	10	'	'	PUNCT
cana-1238	114	11	image_path	image_path	NOUN
cana-1238	114	12	'	'	PUNCT
cana-1238	114	13	with	with	ADP
cana-1238	114	14	a	a	DET
cana-1238	114	15	example	example	NOUN
cana-1238	114	16	image	image	NOUN
cana-1238	114	17	.	.	PUNCT
cana-1238	115	1	step-5	step-5	NUM
cana-1238	115	2	:	:	PUNCT
cana-1238	115	3	extract	extract	VERB
cana-1238	115	4	directory	directory	NOUN
cana-1238	115	5	path	path	NOUN
cana-1238	115	6	from	from	ADP
cana-1238	115	7	'	'	PUNCT
cana-1238	115	8	image_path	image_path	NOUN
cana-1238	115	9	'	'	PUNCT
cana-1238	115	10	along	along	ADP
cana-1238	115	11	with	with	ADP
cana-1238	115	12	base	base	NOUN
cana-1238	115	13	file	file	NOUN
cana-1238	115	14	name	name	NOUN
cana-1238	115	15	and	and	CCONJ
cana-1238	115	16	extensions	extension	NOUN
cana-1238	115	17	.	.	PUNCT
cana-1238	116	1	step-6	step-6	NOUN
cana-1238	116	2	:	:	PUNCT
cana-1238	116	3	set	set	VERB
cana-1238	116	4	output	output	NOUN
cana-1238	116	5	paths	path	NOUN
cana-1238	116	6	such	such	ADJ
cana-1238	116	7	as	as	ADP
cana-1238	116	8	'	'	PUNCT
cana-1238	116	9	obj_path','out_img_path','video_path','video_display_path	obj_path','out_img_path','video_path','video_display_path	NOUN
cana-1238	116	10	'	'	PUNCT
cana-1238	116	11	end	end	NOUN
cana-1238	116	12	in	in	ADP
cana-1238	116	13	the	the	DET
cana-1238	116	14	deep	deep	ADJ
cana-1238	116	15	learning	learning	NOUN
cana-1238	116	16	model	model	NOUN
cana-1238	116	17	training	training	NOUN
cana-1238	116	18	and	and	CCONJ
cana-1238	116	19	utilization	utilization	NOUN
cana-1238	116	20	phase	phase	NOUN
cana-1238	116	21	,	,	PUNCT
cana-1238	116	22	a	a	DET
cana-1238	116	23	pre	pre	ADJ
cana-1238	116	24	-	-	ADJ
cana-1238	116	25	trained	trained	ADJ
cana-1238	116	26	or	or	CCONJ
cana-1238	116	27	custom	custom	ADV
cana-1238	116	28	-	-	PUNCT
cana-1238	116	29	trained	train	VERB
cana-1238	116	30	deep	deep	ADJ
cana-1238	116	31	learning	learning	NOUN
cana-1238	116	32	model	model	NOUN
cana-1238	116	33	in	in	ADP
cana-1238	116	34	pytorch	pytorch	NOUN
cana-1238	116	35	is	be	AUX
cana-1238	116	36	utilized	utilize	VERB
cana-1238	116	37	.	.	PUNCT
cana-1238	117	1	if	if	SCONJ
cana-1238	117	2	training	training	NOUN
cana-1238	117	3	is	be	AUX
cana-1238	117	4	necessary	necessary	ADJ
cana-1238	117	5	,	,	PUNCT
cana-1238	117	6	a	a	DET
cana-1238	117	7	dataset	dataset	NOUN
cana-1238	117	8	of	of	ADP
cana-1238	117	9	paired	pair	VERB
cana-1238	117	10	2d	2d	NUM
cana-1238	117	11	images	image	NOUN
cana-1238	117	12	and	and	CCONJ
cana-1238	117	13	corresponding	correspond	VERB
cana-1238	117	14	3d	3d	NOUN
cana-1238	117	15	models	model	NOUN
cana-1238	117	16	is	be	AUX
cana-1238	117	17	used	use	VERB
cana-1238	117	18	to	to	PART
cana-1238	117	19	train	train	VERB
cana-1238	117	20	the	the	DET
cana-1238	117	21	model	model	NOUN
cana-1238	117	22	.	.	PUNCT
cana-1238	118	1	during	during	ADP
cana-1238	118	2	inference	inference	NOUN
cana-1238	118	3	,	,	PUNCT
cana-1238	118	4	the	the	DET
cana-1238	118	5	model	model	NOUN
cana-1238	118	6	extracts	extract	VERB
cana-1238	118	7	features	feature	NOUN
cana-1238	118	8	from	from	ADP
cana-1238	118	9	preprocessed	preprocesse	VERB
cana-1238	118	10	images	image	NOUN
cana-1238	118	11	to	to	PART
cana-1238	118	12	predict	predict	VERB
cana-1238	118	13	3d	3d	PROPN
cana-1238	118	14	geometry	geometry	NOUN
cana-1238	118	15	,	,	PUNCT
cana-1238	118	16	textures	texture	NOUN
cana-1238	118	17	,	,	PUNCT
cana-1238	118	18	and	and	CCONJ
cana-1238	118	19	depth	depth	NOUN
cana-1238	118	20	information	information	NOUN
cana-1238	118	21	.	.	PUNCT
cana-1238	119	1	algorithm	algorithm	NOUN
cana-1238	119	2	:	:	PUNCT
cana-1238	119	3	pre	pre	ADJ
cana-1238	119	4	processing	processing	NOUN
cana-1238	119	5	and	and	CCONJ
cana-1238	119	6	pretrained	pretraine	VERB
cana-1238	119	7	model	model	NOUN
cana-1238	119	8	begin	begin	VERB
cana-1238	119	9	step-1	step-1	PROPN
cana-1238	119	10	:	:	PUNCT
cana-1238	119	11	change	change	VERB
cana-1238	119	12	the	the	DET
cana-1238	119	13	current	current	ADJ
cana-1238	119	14	working	work	VERB
cana-1238	119	15	directory	directory	NOUN
cana-1238	119	16	to	to	ADP
cana-1238	119	17	'	'	PUNCT
cana-1238	119	18	content	content	NOUN
cana-1238	119	19	'	'	PUNCT
cana-1238	119	20	in	in	ADP
cana-1238	119	21	the	the	DET
cana-1238	119	22	repository	repository	NOUN
cana-1238	119	23	.	.	PUNCT
cana-1238	120	1	step-2	step-2	PROPN
cana-1238	120	2	:	:	PUNCT
cana-1238	120	3	import	import	NOUN
cana-1238	120	4	‘	'	PUNCT
cana-1238	120	5	lightweight-human-pose-estimation.pytorch	lightweight-human-pose-estimation.pytorch	NOUN
cana-1238	120	6	’	'	PUNCT
cana-1238	120	7	repository	repository	NOUN
cana-1238	120	8	into	into	ADP
cana-1238	120	9	the	the	DET
cana-1238	120	10	workspace	workspace	NOUN
cana-1238	120	11	step-3	step-3	NOUN
cana-1238	120	12	:	:	PUNCT
cana-1238	120	13	change	change	VERB
cana-1238	120	14	the	the	DET
cana-1238	120	15	current	current	ADJ
cana-1238	120	16	working	work	VERB
cana-1238	120	17	directory	directory	NOUN
cana-1238	120	18	to	to	ADP
cana-1238	120	19	'	'	PUNCT
cana-1238	120	20	lightweight-human-pose-estimation.pytorch	lightweight-human-pose-estimation.pytorch	VERB
cana-1238	120	21	’	'	PUNCT
cana-1238	120	22	in	in	ADP
cana-1238	120	23	the	the	DET
cana-1238	120	24	repository	repository	NOUN
cana-1238	120	25	.	.	PUNCT
cana-1238	121	1	step-4	step-4	NUM
cana-1238	121	2	:	:	PUNCT
cana-1238	121	3	download	download	VERB
cana-1238	121	4	human_pose_estimation	human_pose_estimation	NUM
cana-1238	121	5	training	training	NOUN
cana-1238	121	6	extensions	extension	NOUN
cana-1238	121	7	into	into	ADP
cana-1238	121	8	directory	directory	NOUN
cana-1238	121	9	.	.	PUNCT
cana-1238	122	1	step-5	step-5	NUM
cana-1238	122	2	:	:	PUNCT
cana-1238	122	3	import	import	NOUN
cana-1238	122	4	'	'	PUNCT
cana-1238	122	5	torch	torch	NOUN
cana-1238	122	6	'	'	PUNCT
cana-1238	122	7	,	,	PUNCT
cana-1238	122	8	'	'	PUNCT
cana-1238	122	9	cv2	cv2	PROPN
cana-1238	122	10	'	'	PUNCT
cana-1238	122	11	,	,	PUNCT
cana-1238	122	12	'	'	PUNCT
cana-1238	122	13	numpy	numpy	NOUN
cana-1238	122	14	'	'	PUNCT
cana-1238	122	15	libraries	library	NOUN
cana-1238	122	16	.	.	PUNCT
cana-1238	123	1	step-6	step-6	NUM
cana-1238	123	2	:	:	PUNCT
cana-1238	123	3	import	import	NOUN
cana-1238	123	4	'	'	PUNCT
cana-1238	123	5	poseestimationwithmobilenet	poseestimationwithmobilenet	NOUN
cana-1238	123	6	'	'	PUNCT
cana-1238	123	7	,	,	PUNCT
cana-1238	123	8	'	'	PUNCT
cana-1238	123	9	extract_keypoints','group_keypoints	extract_keypoints','group_keypoint	NOUN
cana-1238	123	10	'	'	PART
cana-1238	123	11	,	,	PUNCT
cana-1238	123	12	load_state	load_state	PROPN
cana-1238	123	13	'	'	PUNCT
cana-1238	123	14	,	,	PUNCT
cana-1238	123	15	'	'	PUNCT
cana-1238	123	16	pose	pose	VERB
cana-1238	123	17	'	'	PUNCT
cana-1238	123	18	,	,	PUNCT
cana-1238	123	19	'	'	PUNCT
cana-1238	123	20	track_poses	track_pose	NOUN
cana-1238	123	21	'	'	PART
cana-1238	123	22	,	,	PUNCT
cana-1238	123	23	'	'	PUNCT
cana-1238	123	24	demo	demo	NOUN
cana-1238	123	25	'	'	PART
cana-1238	123	26	custom	custom	NOUN
cana-1238	123	27	modules	module	NOUN
cana-1238	123	28	.	.	PUNCT
cana-1238	124	1	step-7	step-7	ADV
cana-1238	124	2	:	:	PUNCT
cana-1238	124	3	define	define	VERB
cana-1238	124	4	the	the	DET
cana-1238	124	5	'	'	PUNCT
cana-1238	124	6	get_rect	get_rect	NOUN
cana-1238	124	7	'	'	PUNCT
cana-1238	124	8	function	function	NOUN
cana-1238	124	9	with	with	ADP
cana-1238	124	10	arguments	argument	NOUN
cana-1238	124	11	net	net	NOUN
cana-1238	124	12	,	,	PUNCT
cana-1238	124	13	images	image	NOUN
cana-1238	124	14	,	,	PUNCT
cana-1238	124	15	and	and	CCONJ
cana-1238	124	16	height_size	height_size	VERB
cana-1238	124	17	.	.	PUNCT
cana-1238	125	1	step-8	step-8	NUM
cana-1238	125	2	:	:	PUNCT
cana-1238	125	3	set	set	VERB
cana-1238	125	4	up	up	ADP
cana-1238	125	5	some	some	DET
cana-1238	125	6	parameters	parameter	NOUN
cana-1238	125	7	and	and	CCONJ
cana-1238	125	8	variables	variable	NOUN
cana-1238	125	9	for	for	ADP
cana-1238	125	10	pose	pose	NOUN
cana-1238	125	11	estimation	estimation	NOUN
cana-1238	125	12	.	.	PUNCT
cana-1238	126	1	step-9	step-9	NOUN
cana-1238	126	2	:	:	PUNCT
cana-1238	126	3	iterate	iterate	NOUN
cana-1238	126	4	over	over	ADP
cana-1238	126	5	the	the	DET
cana-1238	126	6	input	input	NOUN
cana-1238	126	7	images	image	NOUN
cana-1238	126	8	.	.	PUNCT
cana-1238	127	1	perform	perform	VERB
cana-1238	127	2	inference	inference	NOUN
cana-1238	127	3	on	on	ADP
cana-1238	127	4	each	each	DET
cana-1238	127	5	image	image	NOUN
cana-1238	127	6	to	to	PART
cana-1238	127	7	get	get	VERB
cana-1238	127	8	heatmaps	heatmap	NOUN
cana-1238	127	9	and	and	CCONJ
cana-1238	127	10	pafs	pafs	NOUN
cana-1238	127	11	using	use	VERB
cana-1238	127	12	a	a	DET
cana-1238	127	13	pre	pre	ADJ
cana-1238	127	14	-	-	ADJ
cana-1238	127	15	trained	train	VERB
cana-1238	127	16	neural	neural	ADJ
cana-1238	127	17	network	network	NOUN
cana-1238	127	18	.	.	PUNCT
cana-1238	128	1	step-10	step-10	PROPN
cana-1238	128	2	:	:	PUNCT
cana-1238	128	3	extract	extract	VERB
cana-1238	128	4	keypoints	keypoint	NOUN
cana-1238	128	5	and	and	CCONJ
cana-1238	128	6	group	group	VERB
cana-1238	128	7	them	they	PRON
cana-1238	128	8	into	into	ADP
cana-1238	128	9	poses	pose	NOUN
cana-1238	128	10	.	.	PUNCT
cana-1238	129	1	calculate	calculate	VERB
cana-1238	129	2	bounding	bounding	NOUN
cana-1238	129	3	rectangles	rectangle	NOUN
cana-1238	129	4	for	for	ADP
cana-1238	129	5	each	each	DET
cana-1238	129	6	pose	pose	NOUN
cana-1238	129	7	.	.	PUNCT
cana-1238	130	1	communications	communication	NOUN
cana-1238	130	2	on	on	ADP
cana-1238	130	3	applied	apply	VERB
cana-1238	130	4	nonlinear	nonlinear	ADJ
cana-1238	130	5	analysis	analysis	NOUN
cana-1238	130	6	issn	issn	NOUN
cana-1238	130	7	:	:	PUNCT
cana-1238	130	8	1074	1074	NUM
cana-1238	130	9	-	-	PUNCT
cana-1238	130	10	133x	133x	NUM
cana-1238	130	11	vol	vol	NOUN
cana-1238	130	12	31	31	NUM
cana-1238	130	13	no	no	NOUN
cana-1238	130	14	.	.	PUNCT
cana-1238	131	1	6s	6s	NUM
cana-1238	131	2	(	(	PUNCT
cana-1238	131	3	2024	2024	NUM
cana-1238	131	4	)	)	PUNCT
cana-1238	131	5	483	483	NUM
cana-1238	131	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1238	131	7	step-11	step-11	PROPN
cana-1238	131	8	:	:	PUNCT
cana-1238	131	9	save	save	VERB
cana-1238	131	10	the	the	DET
cana-1238	131	11	bounding	bounding	NOUN
cana-1238	131	12	rectangles	rectangle	NOUN
cana-1238	131	13	to	to	ADP
cana-1238	131	14	a	a	DET
cana-1238	131	15	text	text	NOUN
cana-1238	131	16	file	file	NOUN
cana-1238	131	17	with	with	ADP
cana-1238	131	18	the	the	DET
cana-1238	131	19	same	same	ADJ
cana-1238	131	20	name	name	NOUN
cana-1238	131	21	as	as	ADP
cana-1238	131	22	the	the	DET
cana-1238	131	23	input	input	NOUN
cana-1238	131	24	image	image	NOUN
cana-1238	131	25	but	but	CCONJ
cana-1238	131	26	with	with	ADP
cana-1238	131	27	'	'	PUNCT
cana-1238	131	28	_	_	PRON
cana-1238	131	29	rect.txt	rect.txt	X
cana-1238	131	30	'	'	PUNCT
cana-1238	131	31	appended	append	VERB
cana-1238	131	32	.	.	PUNCT
cana-1238	132	1	return	return	VERB
cana-1238	132	2	the	the	DET
cana-1238	132	3	function	function	NOUN
cana-1238	132	4	.	.	PUNCT
cana-1238	133	1	step-12	step-12	NOUN
cana-1238	133	2	:	:	PUNCT
cana-1238	133	3	initialize	initialize	VERB
cana-1238	133	4	an	an	DET
cana-1238	133	5	instance	instance	NOUN
cana-1238	133	6	'	'	PUNCT
cana-1238	133	7	net	net	NOUN
cana-1238	133	8	'	'	PUNCT
cana-1238	133	9	of	of	ADP
cana-1238	133	10	the	the	DET
cana-1238	133	11	poseestimation	poseestimation	NOUN
cana-1238	133	12	withmobilenet	withmobilenet	PROPN
cana-1238	133	13	class	class	NOUN
cana-1238	133	14	.	.	PUNCT
cana-1238	134	1	step-13	step-13	PROPN
cana-1238	134	2	:	:	PUNCT
cana-1238	134	3	load	load	VERB
cana-1238	134	4	the	the	DET
cana-1238	134	5	weighted	weight	VERB
cana-1238	134	6	values	value	NOUN
cana-1238	134	7	of	of	ADP
cana-1238	134	8	the	the	DET
cana-1238	134	9	pre	pre	ADJ
cana-1238	134	10	-	-	ADJ
cana-1238	134	11	trained	train	VERB
cana-1238	134	12	model	model	NOUN
cana-1238	134	13	from	from	ADP
cana-1238	134	14	file	file	NOUN
cana-1238	134	15	'	'	PUNCT
cana-1238	134	16	checkpoint_iter_370000.pth	checkpoint_iter_370000.pth	PROPN
cana-1238	134	17	'	'	PUNCT
cana-1238	134	18	.	.	PUNCT
cana-1238	135	1	load	load	VERB
cana-1238	135	2	the	the	DET
cana-1238	135	3	weights	weight	NOUN
cana-1238	135	4	from	from	ADP
cana-1238	135	5	the	the	DET
cana-1238	135	6	checkpoint	checkpoint	NOUN
cana-1238	135	7	into	into	ADP
cana-1238	135	8	the	the	DET
cana-1238	135	9	neural	neural	ADJ
cana-1238	135	10	network	network	NOUN
cana-1238	135	11	model	model	NOUN
cana-1238	135	12	'	'	PUNCT
cana-1238	135	13	net	net	NOUN
cana-1238	135	14	'	'	PUNCT
cana-1238	135	15	.	.	PUNCT
cana-1238	136	1	call	call	VERB
cana-1238	136	2	the	the	DET
cana-1238	136	3	'	'	PUNCT
cana-1238	136	4	get_rect	get_rect	NOUN
cana-1238	136	5	'	'	PUNCT
cana-1238	136	6	function	function	NOUN
cana-1238	136	7	with	with	ADP
cana-1238	136	8	the	the	DET
cana-1238	136	9	loaded	load	VERB
cana-1238	136	10	model	model	NOUN
cana-1238	136	11	(	(	PUNCT
cana-1238	136	12	'	'	PUNCT
cana-1238	136	13	net	net	ADJ
cana-1238	136	14	'	'	PUNCT
cana-1238	136	15	)	)	PUNCT
cana-1238	136	16	and	and	CCONJ
cana-1238	136	17	other	other	ADJ
cana-1238	136	18	parameters	parameter	NOUN
cana-1238	136	19	,	,	PUNCT
cana-1238	136	20	to	to	PART
cana-1238	136	21	perform	perform	VERB
cana-1238	136	22	pose	pose	NOUN
cana-1238	136	23	estimation	estimation	NOUN
cana-1238	136	24	on	on	ADP
cana-1238	136	25	'	'	PUNCT
cana-1238	136	26	image_path	image_path	NOUN
cana-1238	136	27	'	'	PUNCT
cana-1238	136	28	.	.	PUNCT
cana-1238	137	1	end	end	VERB
cana-1238	137	2	the	the	DET
cana-1238	137	3	3d	3d	NUM
cana-1238	137	4	model	model	NOUN
cana-1238	137	5	reconstruction	reconstruction	NOUN
cana-1238	137	6	phase	phase	NOUN
cana-1238	137	7	focuses	focus	VERB
cana-1238	137	8	on	on	ADP
cana-1238	137	9	converting	convert	VERB
cana-1238	137	10	the	the	DET
cana-1238	137	11	predicted	predict	VERB
cana-1238	137	12	3d	3d	NUM
cana-1238	137	13	parameters	parameter	NOUN
cana-1238	137	14	into	into	ADP
cana-1238	137	15	a	a	DET
cana-1238	137	16	compatible	compatible	ADJ
cana-1238	137	17	format	format	NOUN
cana-1238	137	18	for	for	ADP
cana-1238	137	19	blender	blender	NOUN
cana-1238	137	20	.	.	PUNCT
cana-1238	138	1	python	python	PROPN
cana-1238	138	2	scripts	script	NOUN
cana-1238	138	3	facilitate	facilitate	NOUN
cana-1238	138	4	mesh	mesh	NOUN
cana-1238	138	5	creation	creation	NOUN
cana-1238	138	6	and	and	CCONJ
cana-1238	138	7	material	material	NOUN
cana-1238	138	8	assignment	assignment	NOUN
cana-1238	138	9	in	in	ADP
cana-1238	138	10	blender	blender	NOUN
cana-1238	138	11	,	,	PUNCT
cana-1238	138	12	setting	set	VERB
cana-1238	138	13	up	up	ADP
cana-1238	138	14	the	the	DET
cana-1238	138	15	scene	scene	NOUN
cana-1238	138	16	for	for	ADP
cana-1238	138	17	rendering	render	VERB
cana-1238	138	18	.	.	PUNCT
cana-1238	139	1	blender	blender	NOUN
cana-1238	139	2	's	's	PART
cana-1238	139	3	rendering	rendering	NOUN
cana-1238	139	4	engine	engine	NOUN
cana-1238	139	5	is	be	AUX
cana-1238	139	6	then	then	ADV
cana-1238	139	7	employed	employ	VERB
cana-1238	139	8	to	to	PART
cana-1238	139	9	render	render	VERB
cana-1238	139	10	frames	frame	NOUN
cana-1238	139	11	of	of	ADP
cana-1238	139	12	the	the	DET
cana-1238	139	13	3d	3d	NUM
cana-1238	139	14	scene	scene	NOUN
cana-1238	139	15	,	,	PUNCT
cana-1238	139	16	and	and	CCONJ
cana-1238	139	17	python	python	NOUN
cana-1238	139	18	scripting	scripting	NOUN
cana-1238	139	19	within	within	ADP
cana-1238	139	20	blender	blender	NOUN
cana-1238	139	21	compiles	compile	NOUN
cana-1238	139	22	these	these	DET
cana-1238	139	23	frames	frame	NOUN
cana-1238	139	24	into	into	ADP
cana-1238	139	25	an	an	DET
cana-1238	139	26	mp4	mp4	NOUN
cana-1238	139	27	video	video	NOUN
cana-1238	139	28	format	format	NOUN
cana-1238	139	29	,	,	PUNCT
cana-1238	139	30	showcasing	showcase	VERB
cana-1238	139	31	the	the	DET
cana-1238	139	32	3d	3d	NUM
cana-1238	139	33	model	model	NOUN
cana-1238	139	34	from	from	ADP
cana-1238	139	35	various	various	ADJ
cana-1238	139	36	perspectives	perspective	NOUN
cana-1238	139	37	.	.	PUNCT
cana-1238	140	1	algorithm	algorithm	NOUN
cana-1238	140	2	:	:	PUNCT
cana-1238	140	3	run	run	VERB
cana-1238	140	4	and	and	CCONJ
cana-1238	140	5	render	render	VERB
cana-1238	140	6	the	the	DET
cana-1238	140	7	result	result	NOUN
cana-1238	140	8	begin	begin	VERB
cana-1238	140	9	step-1	step-1	PROPN
cana-1238	140	10	.	.	PUNCT
cana-1238	140	11	run	run	VERB
cana-1238	140	12	'	'	PUNCT
cana-1238	140	13	simple_test	simple_t	ADJ
cana-1238	140	14	'	'	PUNCT
cana-1238	140	15	module	module	NOUN
cana-1238	140	16	from	from	ADP
cana-1238	140	17	'	'	PUNCT
cana-1238	140	18	apps	app	NOUN
cana-1238	140	19	'	'	PART
cana-1238	140	20	package	package	NOUN
cana-1238	140	21	with	with	ADP
cana-1238	140	22	specific	specific	ADJ
cana-1238	140	23	resolution	resolution	NOUN
cana-1238	140	24	of	of	ADP
cana-1238	140	25	256	256	NUM
cana-1238	140	26	with	with	ADP
cana-1238	140	27	utilisation	utilisation	NOUN
cana-1238	140	28	of	of	ADP
cana-1238	140	29	images	image	NOUN
cana-1238	140	30	and	and	CCONJ
cana-1238	140	31	rectangle	rectangle	NOUN
cana-1238	140	32	files	file	NOUN
cana-1238	140	33	.	.	PUNCT
cana-1238	141	1	step-2	step-2	PROPN
cana-1238	141	2	.	.	PUNCT
cana-1238	142	1	import	import	NOUN
cana-1238	142	2	'	'	PUNCT
cana-1238	142	3	sys	sys	PROPN
cana-1238	142	4	'	'	NUM
cana-1238	142	5	,	,	PUNCT
cana-1238	142	6	'	'	PUNCT
cana-1238	142	7	torch	torch	NOUN
cana-1238	142	8	'	'	PUNCT
cana-1238	142	9	modules	module	NOUN
cana-1238	142	10	.	.	PUNCT
cana-1238	143	1	step-3	step-3	X
cana-1238	143	2	.	.	PUNCT
cana-1238	144	1	extract	extract	VERB
cana-1238	144	2	pytorch	pytorch	NOUN
cana-1238	144	3	version	version	NOUN
cana-1238	144	4	step-4	step-4	PROPN
cana-1238	144	5	.	.	PUNCT
cana-1238	144	6	construct	construct	VERB
cana-1238	144	7	version	version	NOUN
cana-1238	144	8	string	string	NOUN
cana-1238	144	9	for	for	ADP
cana-1238	144	10	'	'	NOUN
cana-1238	144	11	pytorch3d	pytorch3d	NOUN
cana-1238	144	12	'	'	PUNCT
cana-1238	144	13	with	with	ADP
cana-1238	144	14	a	a	DET
cana-1238	144	15	string	string	NOUN
cana-1238	144	16	indicating	indicate	VERB
cana-1238	144	17	python	python	NOUN
cana-1238	144	18	version	version	NOUN
cana-1238	144	19	,	,	PUNCT
cana-1238	144	20	cuda	cuda	NOUN
cana-1238	144	21	version	version	NOUN
cana-1238	144	22	string	string	NOUN
cana-1238	144	23	and	and	CCONJ
cana-1238	144	24	append	append	VERB
cana-1238	144	25	pytorch	pytorch	NOUN
cana-1238	144	26	version	version	NOUN
cana-1238	144	27	string	string	NOUN
cana-1238	144	28	.	.	PUNCT
cana-1238	145	1	step-5	step-5	NOUN
cana-1238	145	2	.	.	X
cana-1238	145	3	install	install	VERB
cana-1238	145	4	'	'	PUNCT
cana-1238	145	5	fvcore	fvcore	NOUN
cana-1238	145	6	'	'	PUNCT
cana-1238	145	7	and	and	CCONJ
cana-1238	145	8	'	'	PUNCT
cana-1238	145	9	iopath	iopath	NOUN
cana-1238	145	10	'	'	PUNCT
cana-1238	145	11	packages	package	NOUN
cana-1238	145	12	along	along	ADP
cana-1238	145	13	with	with	ADP
cana-1238	145	14	'	'	PUNCT
cana-1238	145	15	pytorch3d	pytorch3d	NOUN
cana-1238	145	16	'	'	PART
cana-1238	145	17	version	version	NOUN
cana-1238	145	18	string	string	NOUN
cana-1238	145	19	using	use	VERB
cana-1238	145	20	pi	pi	PROPN
cana-1238	145	21	command	command	NOUN
cana-1238	145	22	step-6	step-6	PROPN
cana-1238	145	23	.	.	PUNCT
cana-1238	145	24	import	import	NOUN
cana-1238	145	25	'	'	PUNCT
cana-1238	145	26	generate_video_from_obj	generate_video_from_obj	NOUN
cana-1238	145	27	'	'	PUNCT
cana-1238	145	28	,	,	PUNCT
cana-1238	145	29	'	'	PUNCT
cana-1238	145	30	set_renderer	set_renderer	ADJ
cana-1238	145	31	'	'	PUNCT
cana-1238	145	32	,	,	PUNCT
cana-1238	145	33	'	'	PUNCT
cana-1238	145	34	video	video	NOUN
cana-1238	145	35	'	'	PUNCT
cana-1238	145	36	from	from	ADP
cana-1238	145	37	'	'	NUM
cana-1238	145	38	lib.colab_util	lib.colab_util	NUM
cana-1238	145	39	'	'	PUNCT
cana-1238	145	40	.	.	PUNCT
cana-1238	146	1	step-7	step-7	PROPN
cana-1238	146	2	.	.	X
cana-1238	146	3	initialize	initialize	VERB
cana-1238	146	4	'	'	PUNCT
cana-1238	146	5	renderer	renderer	NOUN
cana-1238	146	6	'	'	PUNCT
cana-1238	146	7	to	to	PART
cana-1238	146	8	render	render	VERB
cana-1238	146	9	images	image	NOUN
cana-1238	146	10	.	.	PUNCT
cana-1238	147	1	step-8	step-8	NUM
cana-1238	147	2	.	.	PUNCT
cana-1238	148	1	call	call	VERB
cana-1238	148	2	function	function	NOUN
cana-1238	148	3	'	'	PUNCT
cana-1238	148	4	generate_video	generate_video	NOUN
cana-1238	148	5	-	-	PUNCT
cana-1238	148	6	from_obj	from_obj	PROPN
cana-1238	148	7	(	(	PUNCT
cana-1238	148	8	)	)	PUNCT
cana-1238	148	9	'	'	PUNCT
cana-1238	148	10	with	with	ADP
cana-1238	148	11	output	output	NOUN
cana-1238	148	12	paths	path	NOUN
cana-1238	148	13	as	as	ADP
cana-1238	148	14	parameters	parameter	NOUN
cana-1238	148	15	.	.	PUNCT
cana-1238	149	1	convert	convert	VERB
cana-1238	149	2	the	the	DET
cana-1238	149	3	video	video	NOUN
cana-1238	149	4	into	into	ADP
cana-1238	149	5	a	a	DET
cana-1238	149	6	format	format	NOUN
cana-1238	149	7	and	and	CCONJ
cana-1238	149	8	display	display	VERB
cana-1238	149	9	the	the	DET
cana-1238	149	10	video	video	NOUN
cana-1238	149	11	.	.	PUNCT
cana-1238	150	1	end	end	NOUN
cana-1238	150	2	to	to	PART
cana-1238	150	3	evaluate	evaluate	VERB
cana-1238	150	4	the	the	DET
cana-1238	150	5	accuracy	accuracy	NOUN
cana-1238	150	6	of	of	ADP
cana-1238	150	7	the	the	DET
cana-1238	150	8	3d	3d	PROPN
cana-1238	150	9	model	model	NOUN
cana-1238	150	10	generation	generation	NOUN
cana-1238	150	11	pipeline	pipeline	NOUN
cana-1238	150	12	,	,	PUNCT
cana-1238	150	13	both	both	DET
cana-1238	150	14	qualitative	qualitative	ADJ
cana-1238	150	15	and	and	CCONJ
cana-1238	150	16	quantitative	quantitative	ADJ
cana-1238	150	17	measures	measure	NOUN
cana-1238	150	18	employed	employ	VERB
cana-1238	150	19	.	.	PUNCT
cana-1238	151	1	qualitatively	qualitatively	ADV
cana-1238	151	2	,	,	PUNCT
cana-1238	151	3	the	the	DET
cana-1238	151	4	reconstructed	reconstructed	ADJ
cana-1238	151	5	3d	3d	NUM
cana-1238	151	6	models	model	NOUN
cana-1238	151	7	rendered	render	VERB
cana-1238	151	8	as	as	ADP
cana-1238	151	9	videos	video	NOUN
cana-1238	151	10	in	in	ADP
cana-1238	151	11	mp4	mp4	NOUN
cana-1238	151	12	format	format	NOUN
cana-1238	151	13	,	,	PUNCT
cana-1238	151	14	assessing	assess	VERB
cana-1238	151	15	their	their	PRON
cana-1238	151	16	fidelity	fidelity	NOUN
cana-1238	151	17	to	to	ADP
cana-1238	151	18	the	the	DET
cana-1238	151	19	original	original	ADJ
cana-1238	151	20	2d	2d	NUM
cana-1238	151	21	images	image	NOUN
cana-1238	151	22	and	and	CCONJ
cana-1238	151	23	are	be	AUX
cana-1238	151	24	visually	visually	ADV
cana-1238	151	25	inspected	inspect	VERB
cana-1238	151	26	.	.	PUNCT
cana-1238	152	1	additionally	additionally	ADV
cana-1238	152	2	,	,	PUNCT
cana-1238	152	3	quantitative	quantitative	ADJ
cana-1238	152	4	evaluations	evaluation	NOUN
cana-1238	152	5	to	to	PART
cana-1238	152	6	measure	measure	VERB
cana-1238	152	7	the	the	DET
cana-1238	152	8	geometric	geometric	ADJ
cana-1238	152	9	accuracy	accuracy	NOUN
cana-1238	152	10	and	and	CCONJ
cana-1238	152	11	structural	structural	ADJ
cana-1238	152	12	coherence	coherence	NOUN
cana-1238	152	13	of	of	ADP
cana-1238	152	14	the	the	DET
cana-1238	152	15	reconstructed	reconstruct	VERB
cana-1238	152	16	models	model	NOUN
cana-1238	152	17	were	be	AUX
cana-1238	152	18	conducted	conduct	VERB
cana-1238	152	19	.	.	PUNCT
cana-1238	153	1	communications	communication	NOUN
cana-1238	153	2	on	on	ADP
cana-1238	153	3	applied	apply	VERB
cana-1238	153	4	nonlinear	nonlinear	ADJ
cana-1238	153	5	analysis	analysis	NOUN
cana-1238	153	6	issn	issn	NOUN
cana-1238	153	7	:	:	PUNCT
cana-1238	153	8	1074	1074	NUM
cana-1238	153	9	-	-	PUNCT
cana-1238	153	10	133x	133x	NUM
cana-1238	153	11	vol	vol	NOUN
cana-1238	153	12	31	31	NUM
cana-1238	153	13	no	no	NOUN
cana-1238	153	14	.	.	PUNCT
cana-1238	154	1	6s	6s	NUM
cana-1238	154	2	(	(	PUNCT
cana-1238	154	3	2024	2024	NUM
cana-1238	154	4	)	)	PUNCT
cana-1238	154	5	484	484	NUM
cana-1238	154	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1238	154	7	geometric	geometric	ADJ
cana-1238	154	8	accuracy	accuracy	NOUN
cana-1238	154	9	:	:	PUNCT
cana-1238	154	10	geometric	geometric	ADJ
cana-1238	154	11	accuracy	accuracy	NOUN
cana-1238	154	12	refers	refer	VERB
cana-1238	154	13	to	to	ADP
cana-1238	154	14	the	the	DET
cana-1238	154	15	ability	ability	NOUN
cana-1238	154	16	of	of	ADP
cana-1238	154	17	the	the	DET
cana-1238	154	18	reconstructed	reconstructed	ADJ
cana-1238	154	19	3d	3d	NUM
cana-1238	154	20	models	model	NOUN
cana-1238	154	21	to	to	PART
cana-1238	154	22	faithfully	faithfully	ADV
cana-1238	154	23	represent	represent	VERB
cana-1238	154	24	the	the	DET
cana-1238	154	25	spatial	spatial	ADJ
cana-1238	154	26	relationships	relationship	NOUN
cana-1238	154	27	and	and	CCONJ
cana-1238	154	28	dimensions	dimension	NOUN
cana-1238	154	29	of	of	ADP
cana-1238	154	30	the	the	DET
cana-1238	154	31	original	original	ADJ
cana-1238	154	32	objects	object	NOUN
cana-1238	154	33	depicted	depict	VERB
cana-1238	154	34	in	in	ADP
cana-1238	154	35	the	the	DET
cana-1238	154	36	input	input	NOUN
cana-1238	154	37	2d	2d	NUM
cana-1238	154	38	images	image	NOUN
cana-1238	154	39	.	.	PUNCT
cana-1238	155	1	to	to	PART
cana-1238	155	2	quantify	quantify	VERB
cana-1238	155	3	geometric	geometric	ADJ
cana-1238	155	4	accuracy	accuracy	NOUN
cana-1238	155	5	,	,	PUNCT
cana-1238	155	6	we	we	PRON
cana-1238	155	7	calculated	calculate	VERB
cana-1238	155	8	the	the	DET
cana-1238	155	9	root	root	NOUN
cana-1238	155	10	mean	mean	ADJ
cana-1238	155	11	square	square	ADJ
cana-1238	155	12	error	error	NOUN
cana-1238	155	13	(	(	PUNCT
cana-1238	155	14	rmse	rmse	NOUN
cana-1238	155	15	)	)	PUNCT
cana-1238	155	16	between	between	ADP
cana-1238	155	17	corresponding	correspond	VERB
cana-1238	155	18	points	point	NOUN
cana-1238	155	19	in	in	ADP
cana-1238	155	20	the	the	DET
cana-1238	155	21	reconstructed	reconstructed	ADJ
cana-1238	155	22	3d	3d	NUM
cana-1238	155	23	models	model	NOUN
cana-1238	155	24	and	and	CCONJ
cana-1238	155	25	ground	ground	NOUN
cana-1238	155	26	truth	truth	NOUN
cana-1238	155	27	data	datum	NOUN
cana-1238	155	28	,	,	PUNCT
cana-1238	155	29	if	if	SCONJ
cana-1238	155	30	available	available	ADJ
cana-1238	155	31	.	.	PUNCT
cana-1238	156	1	rmse	rmse	NOUN
cana-1238	157	1	=	=	NOUN
cana-1238	157	2	√	√	PROPN
cana-1238	157	3	1	1	NUM
cana-1238	157	4	𝑛	𝑛	PRON
cana-1238	157	5	∑	∑	PUNCT
cana-1238	157	6	(	(	PUNCT
cana-1238	157	7	𝑥	𝑥	PROPN
cana-1238	157	8	−	−	PROPN
cana-1238	157	9	𝑥)̂2𝑛	𝑥)̂2𝑛	SYM
cana-1238	157	10	𝑖=1	𝑖=1	VERB
cana-1238	157	11	where	where	SCONJ
cana-1238	157	12	x	x	PRON
cana-1238	157	13	represents	represent	VERB
cana-1238	157	14	the	the	DET
cana-1238	157	15	coordinates	coordinate	NOUN
cana-1238	157	16	of	of	ADP
cana-1238	157	17	a	a	DET
cana-1238	157	18	point	point	NOUN
cana-1238	157	19	in	in	ADP
cana-1238	157	20	the	the	DET
cana-1238	157	21	reconstructed	reconstructed	ADJ
cana-1238	157	22	3d	3d	NUM
cana-1238	157	23	model	model	NOUN
cana-1238	157	24	,	,	PUNCT
cana-1238	157	25	�	�	PROPN
cana-1238	157	26	̂	̂	VERB
cana-1238	157	27	�	�	NOUN
cana-1238	157	28	represents	represent	VERB
cana-1238	157	29	the	the	DET
cana-1238	157	30	coordinates	coordinate	NOUN
cana-1238	157	31	of	of	ADP
cana-1238	157	32	the	the	DET
cana-1238	157	33	similar	similar	ADJ
cana-1238	157	34	point	point	NOUN
cana-1238	157	35	in	in	ADP
cana-1238	157	36	the	the	DET
cana-1238	157	37	ground	ground	NOUN
cana-1238	157	38	truth	truth	NOUN
cana-1238	157	39	data	datum	NOUN
cana-1238	157	40	,	,	PUNCT
cana-1238	157	41	and	and	CCONJ
cana-1238	157	42	n	n	PRON
cana-1238	157	43	is	be	AUX
cana-1238	157	44	the	the	DET
cana-1238	157	45	total	total	ADJ
cana-1238	157	46	number	number	NOUN
cana-1238	157	47	of	of	ADP
cana-1238	157	48	corresponding	corresponding	ADJ
cana-1238	157	49	points	point	NOUN
cana-1238	157	50	.	.	PUNCT
cana-1238	158	1	structural	structural	ADJ
cana-1238	158	2	coherence	coherence	NOUN
cana-1238	158	3	:	:	PUNCT
cana-1238	158	4	structural	structural	ADJ
cana-1238	158	5	coherence	coherence	NOUN
cana-1238	158	6	assesses	assess	VERB
cana-1238	158	7	the	the	DET
cana-1238	158	8	overall	overall	ADJ
cana-1238	158	9	consistency	consistency	NOUN
cana-1238	158	10	and	and	CCONJ
cana-1238	158	11	smoothness	smoothness	NOUN
cana-1238	158	12	of	of	ADP
cana-1238	158	13	the	the	DET
cana-1238	158	14	reconstructed	reconstructed	ADJ
cana-1238	158	15	3d	3d	NUM
cana-1238	158	16	models	model	NOUN
cana-1238	158	17	,	,	PUNCT
cana-1238	158	18	particularly	particularly	ADV
cana-1238	158	19	in	in	ADP
cana-1238	158	20	regions	region	NOUN
cana-1238	158	21	with	with	ADP
cana-1238	158	22	complex	complex	ADJ
cana-1238	158	23	geometry	geometry	NOUN
cana-1238	158	24	or	or	CCONJ
cana-1238	158	25	occlusions	occlusion	NOUN
cana-1238	158	26	.	.	PUNCT
cana-1238	159	1	we	we	PRON
cana-1238	159	2	evaluated	evaluate	VERB
cana-1238	159	3	structural	structural	ADJ
cana-1238	159	4	coherence	coherence	NOUN
cana-1238	159	5	using	use	VERB
cana-1238	159	6	metrics	metric	NOUN
cana-1238	159	7	such	such	ADJ
cana-1238	159	8	as	as	ADP
cana-1238	159	9	surface	surface	NOUN
cana-1238	159	10	curvature	curvature	NOUN
cana-1238	159	11	,	,	PUNCT
cana-1238	159	12	edge	edge	NOUN
cana-1238	159	13	sharpness	sharpness	NOUN
cana-1238	159	14	,	,	PUNCT
cana-1238	159	15	and	and	CCONJ
cana-1238	159	16	surface	surface	NOUN
cana-1238	159	17	continuity	continuity	NOUN
cana-1238	159	18	.	.	PUNCT
cana-1238	160	1	these	these	DET
cana-1238	160	2	metrics	metric	NOUN
cana-1238	160	3	were	be	AUX
cana-1238	160	4	quantified	quantify	VERB
cana-1238	160	5	using	use	VERB
cana-1238	160	6	mathematical	mathematical	ADJ
cana-1238	160	7	formulations	formulation	NOUN
cana-1238	160	8	specific	specific	ADJ
cana-1238	160	9	to	to	ADP
cana-1238	160	10	each	each	DET
cana-1238	160	11	aspect	aspect	NOUN
cana-1238	160	12	of	of	ADP
cana-1238	160	13	structural	structural	ADJ
cana-1238	160	14	coherence	coherence	NOUN
cana-1238	160	15	.	.	PUNCT
cana-1238	161	1	surface	surface	NOUN
cana-1238	161	2	curvature	curvature	NOUN
cana-1238	161	3	:	:	PUNCT
cana-1238	161	4	k	k	X
cana-1238	161	5	=	=	PRON
cana-1238	161	6	k₁	k₁	VERB
cana-1238	161	7	×	×	PROPN
cana-1238	161	8	k₂	k₂	NOUN
cana-1238	161	9	,	,	PUNCT
cana-1238	161	10	here	here	ADV
cana-1238	161	11	k₁	k₁	NOUN
cana-1238	161	12	and	and	CCONJ
cana-1238	161	13	k₂	k₂	NOUN
cana-1238	161	14	are	be	AUX
cana-1238	161	15	principal	principal	ADJ
cana-1238	161	16	curvatures	curvature	NOUN
cana-1238	161	17	.	.	PUNCT
cana-1238	162	1	edge	edge	NOUN
cana-1238	162	2	sharpness	sharpness	NOUN
cana-1238	162	3	:	:	PUNCT
cana-1238	162	4	s	s	X
cana-1238	162	5	=	=	X
cana-1238	162	6	cos−1(n1	cos−1(n1	PROPN
cana-1238	162	7	.	.	PUNCT
cana-1238	163	1	n2	n2	ADJ
cana-1238	163	2	)	)	PUNCT
cana-1238	163	3	,	,	PUNCT
cana-1238	163	4	where	where	SCONJ
cana-1238	163	5	‘	'	PUNCT
cana-1238	163	6	.	.	PUNCT
cana-1238	163	7	’	'	PUNCT
cana-1238	163	8	denotes	denote	NOUN
cana-1238	163	9	dot	dot	NOUN
cana-1238	163	10	product	product	NOUN
cana-1238	163	11	of	of	ADP
cana-1238	163	12	vectors	vector	NOUN
cana-1238	163	13	.	.	PUNCT
cana-1238	164	1	surface	surface	NOUN
cana-1238	164	2	continuity	continuity	NOUN
cana-1238	164	3	:	:	PUNCT
cana-1238	164	4	𝜕2𝐏	𝜕2𝐏	ADJ
cana-1238	164	5	𝜕𝑢2	𝜕𝑢2	NOUN
cana-1238	164	6	.	.	PUNCT
cana-1238	165	1	𝜕2𝐏	𝜕2𝐏	ADJ
cana-1238	165	2	𝜕𝑣2	𝜕𝑣2	ADJ
cana-1238	165	3	−	−	NOUN
cana-1238	165	4	(	(	PUNCT
cana-1238	165	5	𝜕2𝐏	𝜕2𝐏	PROPN
cana-1238	165	6	𝜕𝑢𝜕𝑣	𝜕𝑢𝜕𝑣	PROPN
cana-1238	165	7	)	)	PUNCT
cana-1238	165	8	2	2	NUM
cana-1238	166	1	=	=	SYM
cana-1238	166	2	0	0	NUM
cana-1238	166	3	,	,	PUNCT
cana-1238	166	4	here	here	ADV
cana-1238	166	5	p	p	NOUN
cana-1238	166	6	is	be	AUX
cana-1238	166	7	parametric	parametric	ADJ
cana-1238	166	8	representation	representation	NOUN
cana-1238	166	9	of	of	ADP
cana-1238	166	10	surface	surface	NOUN
cana-1238	166	11	,	,	PUNCT
cana-1238	166	12	u	u	NOUN
cana-1238	166	13	and	and	CCONJ
cana-1238	166	14	v	v	NOUN
cana-1238	166	15	are	be	AUX
cana-1238	166	16	parametric	parametric	ADJ
cana-1238	166	17	coordinates	coordinate	NOUN
cana-1238	166	18	7	7	NUM
cana-1238	166	19	.	.	NOUN
cana-1238	166	20	result	result	NOUN
cana-1238	166	21	and	and	CCONJ
cana-1238	166	22	discussion	discussion	NOUN
cana-1238	166	23	image	image	NOUN
cana-1238	166	24	pre	pre	ADJ
cana-1238	166	25	-	-	NOUN
cana-1238	166	26	processing	processing	ADJ
cana-1238	166	27	:	:	PUNCT
cana-1238	166	28	the	the	DET
cana-1238	166	29	image	image	NOUN
cana-1238	166	30	pre	pre	ADJ
cana-1238	166	31	-	-	ADJ
cana-1238	166	32	processing	processing	ADJ
cana-1238	166	33	module	module	NOUN
cana-1238	166	34	played	play	VERB
cana-1238	166	35	a	a	DET
cana-1238	166	36	crucial	crucial	ADJ
cana-1238	166	37	role	role	NOUN
cana-1238	166	38	in	in	ADP
cana-1238	166	39	enhancing	enhance	VERB
cana-1238	166	40	the	the	DET
cana-1238	166	41	quality	quality	NOUN
cana-1238	166	42	and	and	CCONJ
cana-1238	166	43	relevance	relevance	NOUN
cana-1238	166	44	of	of	ADP
cana-1238	166	45	the	the	DET
cana-1238	166	46	input	input	NOUN
cana-1238	166	47	images	image	NOUN
cana-1238	166	48	for	for	ADP
cana-1238	166	49	subsequent	subsequent	ADJ
cana-1238	166	50	analysis	analysis	NOUN
cana-1238	166	51	.	.	PUNCT
cana-1238	167	1	techniques	technique	NOUN
cana-1238	167	2	such	such	ADJ
cana-1238	167	3	as	as	ADP
cana-1238	167	4	background	background	NOUN
cana-1238	167	5	removal	removal	NOUN
cana-1238	167	6	,	,	PUNCT
cana-1238	167	7	edge	edge	NOUN
cana-1238	167	8	detection	detection	NOUN
cana-1238	167	9	,	,	PUNCT
cana-1238	167	10	and	and	CCONJ
cana-1238	167	11	texture	texture	NOUN
cana-1238	167	12	enhancement	enhancement	NOUN
cana-1238	167	13	were	be	AUX
cana-1238	167	14	employed	employ	VERB
cana-1238	167	15	to	to	PART
cana-1238	167	16	extract	extract	VERB
cana-1238	167	17	salient	salient	NOUN
cana-1238	167	18	features	feature	NOUN
cana-1238	167	19	and	and	CCONJ
cana-1238	167	20	mitigate	mitigate	VERB
cana-1238	167	21	noise	noise	NOUN
cana-1238	167	22	or	or	CCONJ
cana-1238	167	23	artifacts	artifact	NOUN
cana-1238	167	24	.	.	PUNCT
cana-1238	168	1	as	as	ADP
cana-1238	168	2	a	a	DET
cana-1238	168	3	result	result	NOUN
cana-1238	168	4	,	,	PUNCT
cana-1238	168	5	the	the	DET
cana-1238	168	6	pre	pre	ADJ
cana-1238	168	7	-	-	ADJ
cana-1238	168	8	processed	process	VERB
cana-1238	168	9	images	image	NOUN
cana-1238	168	10	provided	provide	VERB
cana-1238	168	11	a	a	DET
cana-1238	168	12	solid	solid	ADJ
cana-1238	168	13	foundation	foundation	NOUN
cana-1238	168	14	for	for	ADP
cana-1238	168	15	accurate	accurate	ADJ
cana-1238	168	16	depth	depth	NOUN
cana-1238	168	17	estimation	estimation	NOUN
cana-1238	168	18	and	and	CCONJ
cana-1238	168	19	structural	structural	ADJ
cana-1238	168	20	inference	inference	NOUN
cana-1238	168	21	,	,	PUNCT
cana-1238	168	22	contributing	contribute	VERB
cana-1238	168	23	to	to	ADP
cana-1238	168	24	the	the	DET
cana-1238	168	25	overall	overall	ADJ
cana-1238	168	26	fidelity	fidelity	NOUN
cana-1238	168	27	and	and	CCONJ
cana-1238	168	28	realism	realism	NOUN
cana-1238	168	29	of	of	ADP
cana-1238	168	30	the	the	DET
cana-1238	168	31	reconstructed	reconstructed	ADJ
cana-1238	168	32	3d	3d	NUM
cana-1238	168	33	models	model	NOUN
cana-1238	168	34	.	.	PUNCT
cana-1238	169	1	pre	pre	VERB
cana-1238	169	2	-	-	ADJ
cana-1238	169	3	trained	train	VERB
cana-1238	169	4	model	model	NOUN
cana-1238	169	5	utilization	utilization	NOUN
cana-1238	169	6	:	:	PUNCT
cana-1238	169	7	the	the	DET
cana-1238	169	8	utilization	utilization	NOUN
cana-1238	169	9	of	of	ADP
cana-1238	169	10	pre	pre	ADJ
cana-1238	169	11	-	-	ADJ
cana-1238	169	12	trained	train	VERB
cana-1238	169	13	deep	deep	ADJ
cana-1238	169	14	learning	learning	NOUN
cana-1238	169	15	models	model	NOUN
cana-1238	169	16	within	within	ADP
cana-1238	169	17	the	the	DET
cana-1238	169	18	pytorch	pytorch	NOUN
cana-1238	169	19	framework	framework	NOUN
cana-1238	169	20	proved	prove	VERB
cana-1238	169	21	to	to	PART
cana-1238	169	22	be	be	AUX
cana-1238	169	23	highly	highly	ADV
cana-1238	169	24	effective	effective	ADJ
cana-1238	169	25	in	in	ADP
cana-1238	169	26	inferring	infer	VERB
cana-1238	169	27	3d	3d	NUM
cana-1238	169	28	geometry	geometry	NOUN
cana-1238	169	29	from	from	ADP
cana-1238	169	30	2d	2d	NUM
cana-1238	169	31	images	image	NOUN
cana-1238	169	32	.	.	PUNCT
cana-1238	170	1	by	by	ADP
cana-1238	170	2	leveraging	leverage	VERB
cana-1238	170	3	the	the	DET
cana-1238	170	4	vast	vast	ADJ
cana-1238	170	5	amount	amount	NOUN
cana-1238	170	6	of	of	ADP
cana-1238	170	7	knowledge	knowledge	NOUN
cana-1238	170	8	encoded	encode	VERB
cana-1238	170	9	within	within	ADP
cana-1238	170	10	these	these	DET
cana-1238	170	11	models	model	NOUN
cana-1238	170	12	,	,	PUNCT
cana-1238	170	13	we	we	PRON
cana-1238	170	14	were	be	AUX
cana-1238	170	15	able	able	ADJ
cana-1238	170	16	to	to	PART
cana-1238	170	17	discern	discern	VERB
cana-1238	170	18	complex	complex	ADJ
cana-1238	170	19	patterns	pattern	NOUN
cana-1238	170	20	and	and	CCONJ
cana-1238	170	21	structures	structure	NOUN
cana-1238	170	22	embedded	embed	VERB
cana-1238	170	23	within	within	ADP
cana-1238	170	24	the	the	DET
cana-1238	170	25	input	input	NOUN
cana-1238	170	26	images	image	NOUN
cana-1238	170	27	with	with	ADP
cana-1238	170	28	remarkable	remarkable	ADJ
cana-1238	170	29	precision	precision	NOUN
cana-1238	170	30	.	.	PUNCT
cana-1238	171	1	fine	fine	ADJ
cana-1238	171	2	-	-	PUNCT
cana-1238	171	3	tuning	tune	VERB
cana-1238	171	4	the	the	DET
cana-1238	171	5	pre	pre	ADJ
cana-1238	171	6	-	-	ADJ
cana-1238	171	7	trained	train	VERB
cana-1238	171	8	models	model	NOUN
cana-1238	171	9	on	on	ADP
cana-1238	171	10	domain	domain	NOUN
cana-1238	171	11	-	-	PUNCT
cana-1238	171	12	specific	specific	ADJ
cana-1238	171	13	data	datum	NOUN
cana-1238	171	14	further	far	ADV
cana-1238	171	15	enhanced	enhance	VERB
cana-1238	171	16	their	their	PRON
cana-1238	171	17	performance	performance	NOUN
cana-1238	171	18	,	,	PUNCT
cana-1238	171	19	enabling	enable	VERB
cana-1238	171	20	them	they	PRON
cana-1238	171	21	to	to	PART
cana-1238	171	22	adapt	adapt	VERB
cana-1238	171	23	to	to	ADP
cana-1238	171	24	the	the	DET
cana-1238	171	25	unique	unique	ADJ
cana-1238	171	26	characteristics	characteristic	NOUN
cana-1238	171	27	of	of	ADP
cana-1238	171	28	the	the	DET
cana-1238	171	29	input	input	NOUN
cana-1238	171	30	images	image	NOUN
cana-1238	171	31	and	and	CCONJ
cana-1238	171	32	produce	produce	VERB
cana-1238	171	33	more	more	ADV
cana-1238	171	34	accurate	accurate	ADJ
cana-1238	171	35	and	and	CCONJ
cana-1238	171	36	detailed	detailed	ADJ
cana-1238	171	37	reconstructions	reconstruction	NOUN
cana-1238	171	38	.	.	PUNCT
cana-1238	172	1	rendering	render	VERB
cana-1238	172	2	into	into	ADP
cana-1238	172	3	video	video	NOUN
cana-1238	172	4	format	format	NOUN
cana-1238	172	5	:	:	PUNCT
cana-1238	172	6	the	the	DET
cana-1238	172	7	rendering	rendering	NOUN
cana-1238	172	8	module	module	NOUN
cana-1238	172	9	,	,	PUNCT
cana-1238	172	10	facilitated	facilitate	VERB
cana-1238	172	11	by	by	ADP
cana-1238	172	12	blender	blender	NOUN
cana-1238	172	13	and	and	CCONJ
cana-1238	172	14	python	python	NOUN
cana-1238	172	15	scripts	script	NOUN
cana-1238	172	16	,	,	PUNCT
cana-1238	172	17	seamlessly	seamlessly	ADV
cana-1238	172	18	integrated	integrate	VERB
cana-1238	172	19	the	the	DET
cana-1238	172	20	reconstructed	reconstructed	ADJ
cana-1238	172	21	3d	3d	NUM
cana-1238	172	22	models	model	NOUN
cana-1238	172	23	into	into	ADP
cana-1238	172	24	immersive	immersive	ADJ
cana-1238	172	25	video	video	NOUN
cana-1238	172	26	formats	format	NOUN
cana-1238	172	27	such	such	ADJ
cana-1238	172	28	as	as	ADP
cana-1238	172	29	mp4	mp4	PROPN
cana-1238	172	30	.	.	PUNCT
cana-1238	173	1	this	this	DET
cana-1238	173	2	process	process	NOUN
cana-1238	173	3	involved	involve	VERB
cana-1238	173	4	refining	refine	VERB
cana-1238	173	5	and	and	CCONJ
cana-1238	173	6	enhancing	enhance	VERB
cana-1238	173	7	the	the	DET
cana-1238	173	8	models	model	NOUN
cana-1238	173	9	within	within	ADP
cana-1238	173	10	the	the	DET
cana-1238	173	11	3d	3d	PROPN
cana-1238	173	12	rendering	rendering	NOUN
cana-1238	173	13	environment	environment	NOUN
cana-1238	173	14	,	,	PUNCT
cana-1238	173	15	applying	apply	VERB
cana-1238	173	16	texture	texture	ADJ
cana-1238	173	17	mapping	mapping	NOUN
cana-1238	173	18	,	,	PUNCT
cana-1238	173	19	lighting	lighting	NOUN
cana-1238	173	20	effects	effect	NOUN
cana-1238	173	21	,	,	PUNCT
cana-1238	173	22	and	and	CCONJ
cana-1238	173	23	animation	animation	NOUN
cana-1238	173	24	to	to	PART
cana-1238	173	25	imbue	imbue	VERB
cana-1238	173	26	them	they	PRON
cana-1238	173	27	with	with	ADP
cana-1238	173	28	realism	realism	NOUN
cana-1238	173	29	and	and	CCONJ
cana-1238	173	30	dynamism	dynamism	NOUN
cana-1238	173	31	.	.	PUNCT
cana-1238	174	1	the	the	DET
cana-1238	174	2	resulting	result	VERB
cana-1238	174	3	videos	video	NOUN
cana-1238	174	4	showcased	showcase	VERB
cana-1238	174	5	communications	communication	NOUN
cana-1238	174	6	on	on	ADP
cana-1238	174	7	applied	apply	VERB
cana-1238	174	8	nonlinear	nonlinear	ADJ
cana-1238	174	9	analysis	analysis	NOUN
cana-1238	174	10	issn	issn	NOUN
cana-1238	174	11	:	:	PUNCT
cana-1238	174	12	1074	1074	NUM
cana-1238	174	13	-	-	PUNCT
cana-1238	174	14	133x	133x	NUM
cana-1238	174	15	vol	vol	NOUN
cana-1238	174	16	31	31	NUM
cana-1238	174	17	no	no	NOUN
cana-1238	174	18	.	.	PUNCT
cana-1238	175	1	6s	6s	NUM
cana-1238	175	2	(	(	PUNCT
cana-1238	175	3	2024	2024	NUM
cana-1238	175	4	)	)	PUNCT
cana-1238	175	5	485	485	NUM
cana-1238	175	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1238	175	7	the	the	DET
cana-1238	175	8	immersive	immersive	ADJ
cana-1238	175	9	potential	potential	NOUN
cana-1238	175	10	of	of	ADP
cana-1238	175	11	the	the	DET
cana-1238	175	12	reconstructed	reconstructed	ADJ
cana-1238	175	13	3d	3d	NUM
cana-1238	175	14	models	model	NOUN
cana-1238	175	15	,	,	PUNCT
cana-1238	175	16	capturing	capture	VERB
cana-1238	175	17	the	the	DET
cana-1238	175	18	essence	essence	NOUN
cana-1238	175	19	of	of	ADP
cana-1238	175	20	the	the	DET
cana-1238	175	21	original	original	ADJ
cana-1238	175	22	2d	2d	NUM
cana-1238	175	23	images	image	NOUN
cana-1238	175	24	and	and	CCONJ
cana-1238	175	25	bringing	bring	VERB
cana-1238	175	26	them	they	PRON
cana-1238	175	27	to	to	ADP
cana-1238	175	28	life	life	NOUN
cana-1238	175	29	in	in	ADP
cana-1238	175	30	vivid	vivid	ADJ
cana-1238	175	31	detail	detail	NOUN
cana-1238	175	32	.	.	PUNCT
cana-1238	176	1	precision	precision	NOUN
cana-1238	176	2	graph	graph	NOUN
cana-1238	176	3	:	:	PUNCT
cana-1238	176	4	fig-3	fig-3	NUM
cana-1238	176	5	:	:	PUNCT
cana-1238	176	6	precision	precision	NOUN
cana-1238	176	7	graph	graph	NOUN
cana-1238	176	8	accuracy	accuracy	NOUN
cana-1238	176	9	graph	graph	NOUN
cana-1238	176	10	construction	construction	NOUN
cana-1238	176	11	typically	typically	ADV
cana-1238	176	12	starts	start	VERB
cana-1238	176	13	with	with	ADP
cana-1238	176	14	collecting	collect	VERB
cana-1238	176	15	a	a	DET
cana-1238	176	16	dataset	dataset	NOUN
cana-1238	176	17	of	of	ADP
cana-1238	176	18	paired	pair	VERB
cana-1238	176	19	2d	2d	NUM
cana-1238	176	20	images	image	NOUN
cana-1238	176	21	and	and	CCONJ
cana-1238	176	22	3d	3d	NUM
cana-1238	176	23	models	model	NOUN
cana-1238	176	24	.	.	PUNCT
cana-1238	177	1	feature	feature	NOUN
cana-1238	177	2	extraction	extraction	NOUN
cana-1238	177	3	techniques	technique	NOUN
cana-1238	177	4	are	be	AUX
cana-1238	177	5	then	then	ADV
cana-1238	177	6	used	use	VERB
cana-1238	177	7	to	to	PART
cana-1238	177	8	extract	extract	VERB
cana-1238	177	9	key	key	ADJ
cana-1238	177	10	points	point	NOUN
cana-1238	177	11	or	or	CCONJ
cana-1238	177	12	joints	joint	NOUN
cana-1238	177	13	from	from	ADP
cana-1238	177	14	the	the	DET
cana-1238	177	15	2d	2d	NUM
cana-1238	177	16	images	image	NOUN
cana-1238	177	17	and	and	CCONJ
cana-1238	177	18	3d	3d	NUM
cana-1238	177	19	models	model	NOUN
cana-1238	177	20	.	.	PUNCT
cana-1238	178	1	next	next	ADV
cana-1238	178	2	,	,	PUNCT
cana-1238	178	3	the	the	DET
cana-1238	178	4	sculptural(3d	sculptural(3d	PROPN
cana-1238	178	5	)	)	PUNCT
cana-1238	178	6	pose	pose	VERB
cana-1238	178	7	of	of	ADP
cana-1238	178	8	the	the	DET
cana-1238	178	9	specimen	speciman	NOUN
cana-1238	178	10	in	in	ADP
cana-1238	178	11	the	the	DET
cana-1238	178	12	2d	2d	NUM
cana-1238	178	13	picture	picture	NOUN
cana-1238	178	14	is	be	AUX
cana-1238	178	15	estimated	estimate	VERB
cana-1238	178	16	,	,	PUNCT
cana-1238	178	17	and	and	CCONJ
cana-1238	178	18	the	the	DET
cana-1238	178	19	error	error	NOUN
cana-1238	178	20	between	between	ADP
cana-1238	178	21	this	this	DET
cana-1238	178	22	estimate	estimate	NOUN
cana-1238	178	23	and	and	CCONJ
cana-1238	178	24	the	the	DET
cana-1238	178	25	ground	ground	NOUN
cana-1238	178	26	truth	truth	NOUN
cana-1238	178	27	3d	3d	PROPN
cana-1238	178	28	pose	pose	VERB
cana-1238	178	29	from	from	ADP
cana-1238	178	30	the	the	DET
cana-1238	178	31	3d	3d	PROPN
cana-1238	178	32	model	model	NOUN
cana-1238	178	33	is	be	AUX
cana-1238	178	34	calculated	calculate	VERB
cana-1238	178	35	.	.	PUNCT
cana-1238	179	1	this	this	DET
cana-1238	179	2	error	error	NOUN
cana-1238	179	3	is	be	AUX
cana-1238	179	4	used	use	VERB
cana-1238	179	5	to	to	PART
cana-1238	179	6	determine	determine	VERB
cana-1238	179	7	the	the	DET
cana-1238	179	8	accuracy	accuracy	NOUN
cana-1238	179	9	of	of	ADP
cana-1238	179	10	the	the	DET
cana-1238	179	11	3d	3d	PROPN
cana-1238	179	12	model	model	NOUN
cana-1238	179	13	's	's	PART
cana-1238	179	14	pose	pose	NOUN
cana-1238	179	15	estimation	estimation	NOUN
cana-1238	179	16	.	.	PUNCT
cana-1238	180	1	finally	finally	ADV
cana-1238	180	2	,	,	PUNCT
cana-1238	180	3	accuracy	accuracy	NOUN
cana-1238	180	4	values	value	NOUN
cana-1238	180	5	are	be	AUX
cana-1238	180	6	plotted	plot	VERB
cana-1238	180	7	against	against	ADP
cana-1238	180	8	the	the	DET
cana-1238	180	9	dataset	dataset	NOUN
cana-1238	180	10	to	to	PART
cana-1238	180	11	create	create	VERB
cana-1238	180	12	an	an	DET
cana-1238	180	13	accuracy	accuracy	NOUN
cana-1238	180	14	graph	graph	NOUN
cana-1238	180	15	,	,	PUNCT
cana-1238	180	16	which	which	PRON
cana-1238	180	17	provides	provide	VERB
cana-1238	180	18	insights	insight	NOUN
cana-1238	180	19	into	into	ADP
cana-1238	180	20	how	how	SCONJ
cana-1238	180	21	well	well	ADV
cana-1238	180	22	the	the	DET
cana-1238	180	23	3d	3d	PROPN
cana-1238	180	24	model	model	NOUN
cana-1238	180	25	reconstructs	reconstruct	VERB
cana-1238	180	26	the	the	DET
cana-1238	180	27	pose	pose	NOUN
cana-1238	180	28	of	of	ADP
cana-1238	180	29	the	the	DET
cana-1238	180	30	human	human	NOUN
cana-1238	180	31	in	in	ADP
cana-1238	180	32	the	the	DET
cana-1238	180	33	2d	2d	NUM
cana-1238	180	34	image	image	NOUN
cana-1238	180	35	across	across	ADP
cana-1238	180	36	different	different	ADJ
cana-1238	180	37	samples	sample	NOUN
cana-1238	180	38	.	.	PUNCT
cana-1238	181	1	lower	low	ADJ
cana-1238	181	2	errors	error	NOUN
cana-1238	181	3	indicate	indicate	VERB
cana-1238	181	4	a	a	DET
cana-1238	181	5	more	more	ADV
cana-1238	181	6	accurate	accurate	ADJ
cana-1238	181	7	reconstruction	reconstruction	NOUN
cana-1238	181	8	.	.	PUNCT
cana-1238	182	1	fig-4	fig-4	VERB
cana-1238	182	2	:	:	PUNCT
cana-1238	182	3	diagonal	diagonal	ADJ
cana-1238	182	4	view	view	NOUN
cana-1238	182	5	fig-5	fig-5	NUM
cana-1238	182	6	:	:	PUNCT
cana-1238	182	7	rearside	rearside	ADJ
cana-1238	182	8	view	view	NOUN
cana-1238	182	9	fig-6	fig-6	NOUN
cana-1238	182	10	:	:	PUNCT
cana-1238	182	11	diagonal	diagonal	ADJ
cana-1238	182	12	view	view	NOUN
cana-1238	182	13	fig-7	fig-7	NOUN
cana-1238	182	14	:	:	PUNCT
cana-1238	182	15	anterior	anterior	ADJ
cana-1238	182	16	view	view	NOUN
cana-1238	182	17	8	8	NUM
cana-1238	182	18	.	.	PUNCT
cana-1238	182	19	conclusion	conclusion	NOUN
cana-1238	182	20	in	in	ADP
cana-1238	182	21	summary	summary	NOUN
cana-1238	182	22	,	,	PUNCT
cana-1238	182	23	the	the	DET
cana-1238	182	24	handle	handle	NOUN
cana-1238	182	25	of	of	ADP
cana-1238	182	26	producing	produce	VERB
cana-1238	182	27	3d	3d	NOUN
cana-1238	182	28	models	model	NOUN
cana-1238	182	29	from	from	ADP
cana-1238	182	30	2d	2d	NUM
cana-1238	182	31	pictures	picture	NOUN
cana-1238	182	32	utilizing	utilize	VERB
cana-1238	182	33	pytorch	pytorch	NOUN
cana-1238	182	34	,	,	PUNCT
cana-1238	182	35	blender	blender	NOUN
cana-1238	182	36	,	,	PUNCT
cana-1238	182	37	and	and	CCONJ
cana-1238	182	38	python	python	NOUN
cana-1238	182	39	speaks	speak	VERB
cana-1238	182	40	to	to	ADP
cana-1238	182	41	a	a	DET
cana-1238	182	42	noteworthy	noteworthy	ADJ
cana-1238	182	43	progression	progression	NOUN
cana-1238	182	44	in	in	ADP
cana-1238	182	45	the	the	DET
cana-1238	182	46	field	field	NOUN
cana-1238	182	47	of	of	ADP
cana-1238	182	48	computer	computer	NOUN
cana-1238	182	49	illustrations	illustration	NOUN
cana-1238	182	50	and	and	CCONJ
cana-1238	182	51	fake	fake	ADJ
cana-1238	182	52	insights	insight	NOUN
cana-1238	182	53	.	.	PUNCT
cana-1238	183	1	communications	communication	NOUN
cana-1238	183	2	on	on	ADP
cana-1238	183	3	applied	apply	VERB
cana-1238	183	4	nonlinear	nonlinear	ADJ
cana-1238	183	5	analysis	analysis	NOUN
cana-1238	183	6	issn	issn	NOUN
cana-1238	183	7	:	:	PUNCT
cana-1238	183	8	1074	1074	NUM
cana-1238	183	9	-	-	PUNCT
cana-1238	183	10	133x	133x	NUM
cana-1238	183	11	vol	vol	NOUN
cana-1238	183	12	31	31	NUM
cana-1238	183	13	no	no	NOUN
cana-1238	183	14	.	.	PUNCT
cana-1238	184	1	6s	6s	NUM
cana-1238	184	2	(	(	PUNCT
cana-1238	184	3	2024	2024	NUM
cana-1238	184	4	)	)	PUNCT
cana-1238	184	5	486	486	NUM
cana-1238	184	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1238	184	7	through	through	ADP
cana-1238	184	8	the	the	DET
cana-1238	184	9	fastidious	fastidious	ADJ
cana-1238	184	10	integration	integration	NOUN
cana-1238	184	11	of	of	ADP
cana-1238	184	12	picture	picture	NOUN
cana-1238	184	13	pre	pre	ADJ
cana-1238	184	14	-	-	ADJ
cana-1238	184	15	processing	processing	ADJ
cana-1238	184	16	,	,	PUNCT
cana-1238	184	17	utilization	utilization	NOUN
cana-1238	184	18	of	of	ADP
cana-1238	184	19	pre	pre	ADJ
cana-1238	184	20	-	-	ADJ
cana-1238	184	21	trained	train	VERB
cana-1238	184	22	profound	profound	ADJ
cana-1238	184	23	learning	learning	NOUN
cana-1238	184	24	models	model	NOUN
cana-1238	184	25	,	,	PUNCT
cana-1238	184	26	and	and	CCONJ
cana-1238	184	27	consistent	consistent	ADJ
cana-1238	184	28	rendering	rendering	NOUN
cana-1238	184	29	of	of	ADP
cana-1238	184	30	comes	come	VERB
cana-1238	184	31	about	about	ADV
cana-1238	184	32	into	into	ADP
cana-1238	184	33	video	video	NOUN
cana-1238	184	34	designs	design	NOUN
cana-1238	184	35	,	,	PUNCT
cana-1238	184	36	our	our	PRON
cana-1238	184	37	venture	venture	NOUN
cana-1238	184	38	has	have	AUX
cana-1238	184	39	illustrated	illustrate	VERB
cana-1238	184	40	the	the	DET
cana-1238	184	41	transformative	transformative	ADJ
cana-1238	184	42	potential	potential	NOUN
cana-1238	184	43	of	of	ADP
cana-1238	184	44	this	this	DET
cana-1238	184	45	innovation	innovation	NOUN
cana-1238	184	46	.	.	PUNCT
cana-1238	185	1	by	by	ADP
cana-1238	185	2	leveraging	leverage	VERB
cana-1238	185	3	advanced	advanced	ADJ
cana-1238	185	4	strategies	strategy	NOUN
cana-1238	185	5	and	and	CCONJ
cana-1238	185	6	devices	device	NOUN
cana-1238	185	7	,	,	PUNCT
cana-1238	185	8	we	we	PRON
cana-1238	185	9	have	have	AUX
cana-1238	185	10	effectively	effectively	ADV
cana-1238	185	11	bridged	bridge	VERB
cana-1238	185	12	the	the	DET
cana-1238	185	13	crevice	crevice	NOUN
cana-1238	185	14	between	between	ADP
cana-1238	185	15	conventional	conventional	ADJ
cana-1238	185	16	2d	2d	NUM
cana-1238	185	17	representations	representation	NOUN
cana-1238	185	18	and	and	CCONJ
cana-1238	185	19	immersive	immersive	VERB
cana-1238	185	20	3d	3d	NUM
cana-1238	185	21	situations	situation	NOUN
cana-1238	185	22	,	,	PUNCT
cana-1238	185	23	opening	open	VERB
cana-1238	185	24	up	up	ADP
cana-1238	185	25	unused	unused	ADJ
cana-1238	185	26	roads	road	NOUN
cana-1238	185	27	for	for	ADP
cana-1238	185	28	inventiveness	inventiveness	NOUN
cana-1238	185	29	,	,	PUNCT
cana-1238	185	30	investigation	investigation	NOUN
cana-1238	185	31	,	,	PUNCT
cana-1238	185	32	and	and	CCONJ
cana-1238	185	33	communication	communication	NOUN
cana-1238	185	34	.	.	PUNCT
cana-1238	186	1	our	our	PRON
cana-1238	186	2	endeavors	endeavor	NOUN
cana-1238	186	3	have	have	AUX
cana-1238	186	4	not	not	PART
cana-1238	186	5	as	as	SCONJ
cana-1238	186	6	it	it	PRON
cana-1238	186	7	were	be	AUX
cana-1238	186	8	yielded	yield	VERB
cana-1238	186	9	outwardly	outwardly	ADV
cana-1238	186	10	staggering	staggering	ADJ
cana-1238	186	11	comes	come	VERB
cana-1238	186	12	about	about	ADV
cana-1238	186	13	but	but	CCONJ
cana-1238	186	14	moreover	moreover	ADV
cana-1238	186	15	cleared	clear	VERB
cana-1238	186	16	the	the	DET
cana-1238	186	17	way	way	NOUN
cana-1238	186	18	for	for	ADP
cana-1238	186	19	common	common	ADJ
cana-1238	186	20	sense	sense	NOUN
cana-1238	186	21	applications	application	NOUN
cana-1238	186	22	over	over	ADP
cana-1238	186	23	differing	differ	VERB
cana-1238	186	24	businesses	business	NOUN
cana-1238	186	25	,	,	PUNCT
cana-1238	186	26	from	from	ADP
cana-1238	186	27	amusement	amusement	NOUN
cana-1238	186	28	and	and	CCONJ
cana-1238	186	29	gaming	gaming	NOUN
cana-1238	186	30	to	to	ADP
cana-1238	186	31	healthcare	healthcare	NOUN
cana-1238	186	32	and	and	CCONJ
cana-1238	186	33	instruction	instruction	NOUN
cana-1238	186	34	.	.	PUNCT
cana-1238	187	1	moving	move	VERB
cana-1238	187	2	forward	forward	ADV
cana-1238	187	3	,	,	PUNCT
cana-1238	187	4	proceeded	proceed	VERB
cana-1238	187	5	inquire	inquire	VERB
cana-1238	187	6	about	about	ADP
cana-1238	187	7	and	and	CCONJ
cana-1238	187	8	advancement	advancement	NOUN
cana-1238	187	9	in	in	ADP
cana-1238	187	10	this	this	DET
cana-1238	187	11	zone	zone	NOUN
cana-1238	187	12	hold	hold	VERB
cana-1238	187	13	the	the	DET
cana-1238	187	14	guarantee	guarantee	NOUN
cana-1238	187	15	of	of	ADP
cana-1238	187	16	assist	assist	NOUN
cana-1238	187	17	refinement	refinement	NOUN
cana-1238	187	18	and	and	CCONJ
cana-1238	187	19	improvement	improvement	NOUN
cana-1238	187	20	,	,	PUNCT
cana-1238	187	21	empowering	empower	VERB
cana-1238	187	22	indeed	indeed	ADV
cana-1238	187	23	more	more	ADV
cana-1238	187	24	reasonable	reasonable	ADJ
cana-1238	187	25	and	and	CCONJ
cana-1238	187	26	energetic	energetic	ADJ
cana-1238	187	27	3d	3d	NOUN
cana-1238	187	28	reproductions	reproduction	NOUN
cana-1238	187	29	.	.	PUNCT
cana-1238	188	1	as	as	SCONJ
cana-1238	188	2	we	we	PRON
cana-1238	188	3	proceed	proceed	VERB
cana-1238	188	4	to	to	PART
cana-1238	188	5	thrust	thrust	VERB
cana-1238	188	6	the	the	DET
cana-1238	188	7	boundaries	boundary	NOUN
cana-1238	188	8	of	of	ADP
cana-1238	188	9	what	what	PRON
cana-1238	188	10	is	be	AUX
cana-1238	188	11	conceivable	conceivable	ADJ
cana-1238	188	12	,	,	PUNCT
cana-1238	188	13	we	we	PRON
cana-1238	188	14	stay	stay	VERB
cana-1238	188	15	committed	committed	ADJ
cana-1238	188	16	to	to	ADP
cana-1238	188	17	progressing	progress	VERB
cana-1238	188	18	the	the	DET
cana-1238	188	19	state	state	NOUN
cana-1238	188	20	-	-	PUNCT
cana-1238	188	21	of	of	ADP
cana-1238	188	22	-	-	PUNCT
cana-1238	188	23	the	the	DET
cana-1238	188	24	-	-	PUNCT
cana-1238	188	25	art	art	NOUN
cana-1238	188	26	in	in	ADP
cana-1238	188	27	3d	3d	NUM
cana-1238	188	28	demonstrate	demonstrate	NOUN
cana-1238	188	29	era	era	NOUN
cana-1238	188	30	and	and	CCONJ
cana-1238	188	31	saddling	saddle	VERB
cana-1238	188	32	its	its	PRON
cana-1238	188	33	full	full	ADJ
cana-1238	188	34	potential	potential	NOUN
cana-1238	188	35	to	to	PART
cana-1238	188	36	enhance	enhance	VERB
cana-1238	188	37	our	our	PRON
cana-1238	188	38	computerized	computerized	ADJ
cana-1238	188	39	encounters	encounter	NOUN
cana-1238	188	40	and	and	CCONJ
cana-1238	188	41	shape	shape	VERB
cana-1238	188	42	the	the	DET
cana-1238	188	43	future	future	NOUN
cana-1238	188	44	of	of	ADP
cana-1238	188	45	intuitively	intuitively	ADV
cana-1238	188	46	substance	substance	NOUN
cana-1238	188	47	creation	creation	NOUN
cana-1238	188	48	.	.	PUNCT
cana-1238	189	1	9	9	X
cana-1238	189	2	.	.	X
cana-1238	189	3	future	future	ADJ
cana-1238	189	4	work	work	NOUN
cana-1238	189	5	enhanced	enhance	VERB
cana-1238	189	6	image	image	NOUN
cana-1238	189	7	pre	pre	ADJ
cana-1238	189	8	-	-	ADJ
cana-1238	189	9	processing	processing	ADJ
cana-1238	189	10	techniques	technique	NOUN
cana-1238	189	11	:	:	PUNCT
cana-1238	189	12	refinement	refinement	NOUN
cana-1238	189	13	and	and	CCONJ
cana-1238	189	14	optimization	optimization	NOUN
cana-1238	189	15	of	of	ADP
cana-1238	189	16	image	image	NOUN
cana-1238	189	17	pre	pre	ADJ
cana-1238	189	18	-	-	ADJ
cana-1238	189	19	processing	processing	ADJ
cana-1238	189	20	methods	method	NOUN
cana-1238	189	21	to	to	PART
cana-1238	189	22	improve	improve	VERB
cana-1238	189	23	robustness	robustness	NOUN
cana-1238	189	24	and	and	CCONJ
cana-1238	189	25	adaptability	adaptability	NOUN
cana-1238	189	26	to	to	PART
cana-1238	189	27	diverse	diverse	VERB
cana-1238	189	28	input	input	NOUN
cana-1238	189	29	scenarios	scenario	NOUN
cana-1238	189	30	.	.	PUNCT
cana-1238	190	1	real	real	ADJ
cana-1238	190	2	-	-	PUNCT
cana-1238	190	3	time	time	NOUN
cana-1238	190	4	processing	processing	NOUN
cana-1238	190	5	capabilities	capability	NOUN
cana-1238	190	6	:	:	PUNCT
cana-1238	190	7	integration	integration	NOUN
cana-1238	190	8	of	of	ADP
cana-1238	190	9	real	real	ADJ
cana-1238	190	10	-	-	PUNCT
cana-1238	190	11	time	time	NOUN
cana-1238	190	12	processing	processing	NOUN
cana-1238	190	13	capabilities	capability	NOUN
cana-1238	190	14	for	for	ADP
cana-1238	190	15	interactive	interactive	ADJ
cana-1238	190	16	applications	application	NOUN
cana-1238	190	17	,	,	PUNCT
cana-1238	190	18	such	such	ADJ
cana-1238	190	19	as	as	ADP
cana-1238	190	20	augmented	augment	VERB
cana-1238	190	21	reality	reality	NOUN
cana-1238	190	22	experiences	experience	NOUN
cana-1238	190	23	and	and	CCONJ
cana-1238	190	24	live	live	ADJ
cana-1238	190	25	event	event	NOUN
cana-1238	190	26	broadcasting	broadcasting	NOUN
cana-1238	190	27	.	.	PUNCT
cana-1238	191	1	specialized	specialized	ADJ
cana-1238	191	2	pre	pre	ADJ
cana-1238	191	3	-	-	ADJ
cana-1238	191	4	trained	trained	ADJ
cana-1238	191	5	models	model	NOUN
cana-1238	191	6	:	:	PUNCT
cana-1238	191	7	development	development	NOUN
cana-1238	191	8	of	of	ADP
cana-1238	191	9	specialized	specialized	ADJ
cana-1238	191	10	pre	pre	ADJ
cana-1238	191	11	-	-	ADJ
cana-1238	191	12	trained	train	VERB
cana-1238	191	13	models	model	NOUN
cana-1238	191	14	tailored	tailor	VERB
cana-1238	191	15	to	to	ADP
cana-1238	191	16	specific	specific	ADJ
cana-1238	191	17	domains	domain	NOUN
cana-1238	191	18	or	or	CCONJ
cana-1238	191	19	applications	application	NOUN
cana-1238	191	20	to	to	PART
cana-1238	191	21	improve	improve	VERB
cana-1238	191	22	accuracy	accuracy	NOUN
cana-1238	191	23	and	and	CCONJ
cana-1238	191	24	efficiency	efficiency	NOUN
cana-1238	191	25	in	in	ADP
cana-1238	191	26	3d	3d	PROPN
cana-1238	191	27	reconstruction	reconstruction	NOUN
cana-1238	191	28	.	.	PUNCT
cana-1238	192	1	utilization	utilization	NOUN
cana-1238	192	2	of	of	ADP
cana-1238	192	3	advanced	advanced	ADJ
cana-1238	192	4	machine	machine	NOUN
cana-1238	192	5	learning	learn	VERB
cana-1238	192	6	techniques	technique	NOUN
cana-1238	192	7	such	such	ADJ
cana-1238	192	8	as	as	ADP
cana-1238	192	9	reinforcement	reinforcement	NOUN
cana-1238	192	10	learning	learning	NOUN
cana-1238	192	11	and	and	CCONJ
cana-1238	192	12	generative	generative	ADJ
cana-1238	192	13	adversarial	adversarial	ADJ
cana-1238	192	14	networks	network	NOUN
cana-1238	192	15	to	to	PART
cana-1238	192	16	synthesize	synthesize	VERB
cana-1238	192	17	more	more	ADV
cana-1238	192	18	complex	complex	ADJ
cana-1238	192	19	and	and	CCONJ
cana-1238	192	20	realistic	realistic	ADJ
cana-1238	192	21	3d	3d	PROPN
cana-1238	192	22	scenes	scene	NOUN
cana-1238	192	23	from	from	ADP
cana-1238	192	24	2d	2d	NUM
cana-1238	192	25	images	image	NOUN
cana-1238	192	26	.	.	PUNCT
cana-1238	193	1	automated	automate	VERB
cana-1238	193	2	quality	quality	NOUN
cana-1238	193	3	assessment	assessment	NOUN
cana-1238	193	4	:	:	PUNCT
cana-1238	193	5	development	development	NOUN
cana-1238	193	6	of	of	ADP
cana-1238	193	7	automated	automate	VERB
cana-1238	193	8	quality	quality	NOUN
cana-1238	193	9	assessment	assessment	NOUN
cana-1238	193	10	methods	method	NOUN
cana-1238	193	11	to	to	PART
cana-1238	193	12	evaluate	evaluate	VERB
cana-1238	193	13	the	the	DET
cana-1238	193	14	fidelity	fidelity	NOUN
cana-1238	193	15	and	and	CCONJ
cana-1238	193	16	accuracy	accuracy	NOUN
cana-1238	193	17	of	of	ADP
cana-1238	193	18	reconstructed	reconstructed	ADJ
cana-1238	193	19	3d	3d	NUM
cana-1238	193	20	models	model	NOUN
cana-1238	193	21	,	,	PUNCT
cana-1238	193	22	enabling	enable	VERB
cana-1238	193	23	more	more	ADV
cana-1238	193	24	efficient	efficient	ADJ
cana-1238	193	25	validation	validation	NOUN
cana-1238	193	26	and	and	CCONJ
cana-1238	193	27	refinement	refinement	NOUN
cana-1238	193	28	processes	process	NOUN
cana-1238	193	29	.	.	PUNCT
cana-1238	194	1	multi	multi	ADJ
cana-1238	194	2	-	-	ADJ
cana-1238	194	3	modal	modal	ADJ
cana-1238	194	4	fusion	fusion	NOUN
cana-1238	194	5	:	:	PUNCT
cana-1238	194	6	investigation	investigation	NOUN
cana-1238	194	7	of	of	ADP
cana-1238	194	8	multi	multi	ADJ
cana-1238	194	9	-	-	ADJ
cana-1238	194	10	modal	modal	ADJ
cana-1238	194	11	fusion	fusion	NOUN
cana-1238	194	12	techniques	technique	NOUN
cana-1238	194	13	to	to	PART
cana-1238	194	14	integrate	integrate	VERB
cana-1238	194	15	additional	additional	ADJ
cana-1238	194	16	sources	source	NOUN
cana-1238	194	17	of	of	ADP
cana-1238	194	18	information	information	NOUN
cana-1238	194	19	,	,	PUNCT
cana-1238	194	20	such	such	ADJ
cana-1238	194	21	as	as	ADP
cana-1238	194	22	depth	depth	NOUN
cana-1238	194	23	sensors	sensor	NOUN
cana-1238	194	24	or	or	CCONJ
cana-1238	194	25	lidar	lidar	NOUN
cana-1238	194	26	data	datum	NOUN
cana-1238	194	27	,	,	PUNCT
cana-1238	194	28	to	to	PART
cana-1238	194	29	enhance	enhance	VERB
cana-1238	194	30	the	the	DET
cana-1238	194	31	completeness	completeness	NOUN
cana-1238	194	32	and	and	CCONJ
cana-1238	194	33	accuracy	accuracy	NOUN
cana-1238	194	34	of	of	ADP
cana-1238	194	35	reconstructed	reconstructed	ADJ
cana-1238	194	36	3d	3d	NUM
cana-1238	194	37	scenes	scene	NOUN
cana-1238	194	38	.	.	PUNCT
cana-1238	195	1	references	reference	NOUN
cana-1238	195	2	[	[	X
cana-1238	195	3	1	1	NUM
cana-1238	195	4	]	]	PUNCT
cana-1238	195	5	image	image	NOUN
cana-1238	195	6	-	-	PUNCT
cana-1238	195	7	based	base	VERB
cana-1238	195	8	3d	3d	PROPN
cana-1238	195	9	object	object	NOUN
cana-1238	195	10	reconstruction	reconstruction	NOUN
cana-1238	195	11	:	:	PUNCT
cana-1238	195	12	state	state	NOUN
cana-1238	195	13	-	-	PUNCT
cana-1238	195	14	of	of	ADP
cana-1238	195	15	-	-	PUNCT
cana-1238	195	16	the	the	DET
cana-1238	195	17	-	-	PUNCT
cana-1238	195	18	art	art	NOUN
cana-1238	195	19	and	and	CCONJ
cana-1238	195	20	tren0ds	tren0ds	NOUN
cana-1238	195	21	in	in	ADP
cana-1238	195	22	the	the	DET
cana-1238	195	23	deep	deep	ADJ
cana-1238	195	24	learning	learning	NOUN
cana-1238	195	25	era	era	NOUN
cana-1238	195	26	,	,	PUNCT
cana-1238	195	27	xian	xian	PROPN
cana-1238	195	28	-	-	PUNCT
cana-1238	195	29	feng	feng	PROPN
cana-1238	195	30	han	han	PROPN
cana-1238	195	31	,	,	PUNCT
cana-1238	195	32	hamid	hamid	PROPN
cana-1238	195	33	laga	laga	PROPN
cana-1238	195	34	,	,	PUNCT
cana-1238	195	35	mohammed	mohammed	PROPN
cana-1238	195	36	bennamoun	bennamoun	PROPN
cana-1238	195	37	.	.	PUNCT
cana-1238	196	1	[	[	X
cana-1238	196	2	2	2	NUM
cana-1238	196	3	]	]	X
cana-1238	196	4	statistical	statistical	ADJ
cana-1238	196	5	approach	approach	NOUN
cana-1238	196	6	to	to	PART
cana-1238	196	7	shape	shape	VERB
cana-1238	196	8	from	from	ADP
cana-1238	196	9	shading	shade	VERB
cana-1238	196	10	:	:	PUNCT
cana-1238	196	11	reconstruction	reconstruction	NOUN
cana-1238	196	12	of	of	ADP
cana-1238	196	13	three	three	NUM
cana-1238	196	14	-	-	PUNCT
cana-1238	196	15	dimensional	dimensional	ADJ
cana-1238	196	16	face	face	NOUN
cana-1238	196	17	surfaces	surface	NOUN
cana-1238	196	18	from	from	ADP
cana-1238	196	19	single	single	ADJ
cana-1238	196	20	twodimensional	twodimensional	ADJ
cana-1238	196	21	images	image	NOUN
cana-1238	196	22	,	,	PUNCT
cana-1238	196	23	joseph	joseph	PROPN
cana-1238	196	24	j.	j.	PROPN
cana-1238	196	25	atick	atick	PROPN
cana-1238	196	26	,	,	PUNCT
cana-1238	196	27	paul	paul	PROPN
cana-1238	196	28	a.	a.	PROPN
cana-1238	196	29	griffin	griffin	PROPN
cana-1238	196	30	,	,	PUNCT
cana-1238	196	31	a.	a.	PROPN
cana-1238	196	32	norman	norman	PROPN
cana-1238	196	33	redlich	redlich	PROPN
cana-1238	196	34	.	.	PUNCT
cana-1238	197	1	[	[	X
cana-1238	197	2	3	3	X
cana-1238	197	3	]	]	PUNCT
cana-1238	197	4	face	face	NOUN
cana-1238	197	5	detection	detection	NOUN
cana-1238	197	6	and	and	CCONJ
cana-1238	197	7	recognition	recognition	NOUN
cana-1238	197	8	using	use	VERB
cana-1238	197	9	opencv	opencv	PROPN
cana-1238	197	10	,	,	PUNCT
cana-1238	197	11	maliha	maliha	NOUN
cana-1238	197	12	khan	khan	PROPN
cana-1238	197	13	,	,	PUNCT
cana-1238	197	14	sudeshna	sudeshna	VERB
cana-1238	197	15	chakraborty	chakraborty	NOUN
cana-1238	197	16	,	,	PUNCT
cana-1238	197	17	rani	rani	PROPN
cana-1238	197	18	astya	astya	PROPN
cana-1238	197	19	,	,	PUNCT
cana-1238	197	20	shaveta	shaveta	PROPN
cana-1238	197	21	khepra	khepra	PROPN
cana-1238	197	22	.	.	PUNCT
cana-1238	198	1	[	[	X
cana-1238	198	2	4	4	NUM
cana-1238	198	3	]	]	PUNCT
cana-1238	198	4	3d	3d	NUM
cana-1238	198	5	face	face	NOUN
cana-1238	198	6	model	model	NOUN
cana-1238	198	7	reconstructing	reconstruct	VERB
cana-1238	198	8	from	from	ADP
cana-1238	198	9	its	its	PRON
cana-1238	198	10	2d	2d	NUM
cana-1238	198	11	images	image	NOUN
cana-1238	198	12	using	use	VERB
cana-1238	198	13	neural	neural	ADJ
cana-1238	198	14	networks	network	NOUN
cana-1238	198	15	,	,	PUNCT
cana-1238	198	16	oleksandra	oleksandra	PROPN
cana-1238	198	17	aleksandrova	aleksandrova	PROPN
cana-1238	198	18	;	;	PUNCT
cana-1238	198	19	yevgen	yevgen	X
cana-1238	198	20	bashkov	bashkov	NOUN
cana-1238	198	21	.	.	PUNCT
cana-1238	199	1	[	[	X
cana-1238	199	2	5	5	NUM
cana-1238	199	3	]	]	SYM
cana-1238	199	4	pytorch	pytorch	NOUN
cana-1238	199	5	:	:	PUNCT
cana-1238	199	6	an	an	DET
cana-1238	199	7	imperative	imperative	ADJ
cana-1238	199	8	style	style	NOUN
cana-1238	199	9	,	,	PUNCT
cana-1238	199	10	high	high	ADJ
cana-1238	199	11	-	-	PUNCT
cana-1238	199	12	performance	performance	NOUN
cana-1238	199	13	deep	deep	ADJ
cana-1238	199	14	learning	learning	NOUN
cana-1238	199	15	library	library	NOUN
cana-1238	199	16	,	,	PUNCT
cana-1238	199	17	adam	adam	PROPN
cana-1238	199	18	paszke	paszke	PROPN
cana-1238	199	19	,	,	PUNCT
cana-1238	199	20	sam	sam	PROPN
cana-1238	199	21	gross	gross	PROPN
cana-1238	199	22	,	,	PUNCT
cana-1238	199	23	francisco	francisco	PROPN
cana-1238	199	24	massa	massa	PROPN
cana-1238	199	25	,	,	PUNCT
cana-1238	199	26	adam	adam	PROPN
cana-1238	199	27	lerer	lerer	PROPN
cana-1238	199	28	,	,	PUNCT
cana-1238	199	29	james	james	PROPN
cana-1238	199	30	bradbury	bradbury	PROPN
cana-1238	199	31	,	,	PUNCT
cana-1238	199	32	gregory	gregory	PROPN
cana-1238	199	33	chanan	chanan	PROPN
cana-1238	199	34	,	,	PUNCT
cana-1238	199	35	trevor	trevor	PROPN
cana-1238	199	36	killeen	killeen	PROPN
cana-1238	199	37	,	,	PUNCT
cana-1238	199	38	zeming	zeming	PROPN
cana-1238	199	39	lin	lin	PROPN
cana-1238	199	40	,	,	PUNCT
cana-1238	199	41	natalia	natalia	PROPN
cana-1238	199	42	gimelshein	gimelshein	PROPN
cana-1238	199	43	,	,	PUNCT
cana-1238	199	44	luca	luca	PROPN
cana-1238	199	45	antiga	antiga	PROPN
cana-1238	199	46	,	,	PUNCT
cana-1238	199	47	alban	alban	PROPN
cana-1238	199	48	desmaison	desmaison	PROPN
cana-1238	199	49	.	.	PUNCT
cana-1238	200	1	[	[	X
cana-1238	200	2	6	6	NUM
cana-1238	200	3	]	]	PUNCT
cana-1238	200	4	refining	refining	NOUN
cana-1238	200	5	human	human	PROPN
cana-1238	200	6	3d	3d	PROPN
cana-1238	200	7	reconstruction	reconstruction	NOUN
cana-1238	200	8	from	from	ADP
cana-1238	200	9	2d	2d	NUM
cana-1238	200	10	images	image	NOUN
cana-1238	200	11	,	,	PUNCT
cana-1238	200	12	muhammad	muhammad	X
cana-1238	200	13	fadil	fadil	PROPN
cana-1238	200	14	maulana	maulana	PROPN
cana-1238	200	15	akbar	akbar	NOUN
cana-1238	200	16	;	;	PUNCT
cana-1238	200	17	bedy	bedy	PROPN
cana-1238	200	18	purnama	purnama	PROPN
cana-1238	200	19	;	;	PUNCT
cana-1238	200	20	edward	edward	PROPN
cana-1238	200	21	ferdian	ferdian	PROPN
cana-1238	200	22	.	.	PUNCT
cana-1238	201	1	[	[	X
cana-1238	201	2	7	7	NUM
cana-1238	201	3	]	]	SYM
cana-1238	201	4	3d	3d	NUM
cana-1238	201	5	face	face	NOUN
cana-1238	201	6	reconstruction	reconstruction	NOUN
cana-1238	201	7	from	from	ADP
cana-1238	201	8	one	one	NUM
cana-1238	201	9	side	side	NOUN
cana-1238	201	10	-	-	PUNCT
cana-1238	201	11	view	view	NOUN
cana-1238	201	12	face	face	NOUN
cana-1238	201	13	images	image	NOUN
cana-1238	201	14	,	,	PUNCT
cana-1238	201	15	jaeik	jaeik	PROPN
cana-1238	201	16	jo	jo	PROPN
cana-1238	201	17	;	;	PUNCT
cana-1238	201	18	yu	yu	PROPN
cana-1238	201	19	jin	jin	PROPN
cana-1238	201	20	jung	jung	PROPN
cana-1238	201	21	;	;	PUNCT
cana-1238	201	22	jaihie	jaihie	PROPN
cana-1238	201	23	kim	kim	PROPN
cana-1238	201	24	.	.	PUNCT
cana-1238	202	1	[	[	X
cana-1238	202	2	8	8	NUM
cana-1238	202	3	]	]	PUNCT
cana-1238	202	4	3d	3d	NUM
cana-1238	202	5	pose	pose	NOUN
cana-1238	202	6	estimation	estimation	NOUN
cana-1238	202	7	based	base	VERB
cana-1238	202	8	on	on	ADP
cana-1238	202	9	reinforce	reinforce	NOUN
cana-1238	202	10	learning	learn	VERB
cana-1238	202	11	for	for	ADP
cana-1238	202	12	2d	2d	NUM
cana-1238	202	13	image	image	NOUN
cana-1238	202	14	-	-	PUNCT
cana-1238	202	15	based	base	VERB
cana-1238	202	16	3d	3d	PROPN
cana-1238	202	17	model	model	NOUN
cana-1238	202	18	retrieval	retrieval	PROPN
cana-1238	202	19	,	,	PUNCT
cana-1238	202	20	wei	wei	PROPN
cana-1238	202	21	-	-	PROPN
cana-1238	202	22	zhi	zhi	PROPN
cana-1238	202	23	nie	nie	PROPN
cana-1238	202	24	;	;	PUNCT
cana-1238	202	25	wen	wen	PROPN
cana-1238	202	26	-	-	PROPN
cana-1238	202	27	wu	wu	PROPN
cana-1238	202	28	jia	jia	PROPN
cana-1238	202	29	;	;	PUNCT
cana-1238	202	30	wen	wen	PROPN
cana-1238	202	31	-	-	PROPN
cana-1238	202	32	hui	hui	PROPN
cana-1238	202	33	li	li	PROPN
cana-1238	202	34	;	;	PUNCT
cana-1238	202	35	an	an	DET
cana-1238	202	36	-	-	PUNCT
cana-1238	202	37	an	an	DET
cana-1238	202	38	liu	liu	PROPN
cana-1238	202	39	;	;	PUNCT
cana-1238	202	40	si	si	PROPN
cana-1238	202	41	-	-	PROPN
cana-1238	202	42	cheng	cheng	PROPN
cana-1238	202	43	zhao	zhao	PROPN
cana-1238	202	44	.	.	PUNCT
cana-1238	203	1	communications	communication	NOUN
cana-1238	203	2	on	on	ADP
cana-1238	203	3	applied	apply	VERB
cana-1238	203	4	nonlinear	nonlinear	ADJ
cana-1238	203	5	analysis	analysis	NOUN
cana-1238	203	6	issn	issn	NOUN
cana-1238	203	7	:	:	PUNCT
cana-1238	203	8	1074	1074	NUM
cana-1238	203	9	-	-	PUNCT
cana-1238	203	10	133x	133x	NUM
cana-1238	203	11	vol	vol	NOUN
cana-1238	203	12	31	31	NUM
cana-1238	203	13	no	no	NOUN
cana-1238	203	14	.	.	PUNCT
cana-1238	204	1	6s	6s	NUM
cana-1238	204	2	(	(	PUNCT
cana-1238	204	3	2024	2024	NUM
cana-1238	204	4	)	)	PUNCT
cana-1238	204	5	487	487	NUM
cana-1238	204	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1238	205	1	[	[	X
cana-1238	205	2	9	9	NUM
cana-1238	205	3	]	]	X
cana-1238	205	4	parametric	parametric	ADJ
cana-1238	205	5	3d	3d	NOUN
cana-1238	205	6	visualization	visualization	NOUN
cana-1238	205	7	modeling	modeling	NOUN
cana-1238	205	8	of	of	ADP
cana-1238	205	9	the	the	DET
cana-1238	205	10	human	human	ADJ
cana-1238	205	11	body	body	NOUN
cana-1238	205	12	based	base	VERB
cana-1238	205	13	on	on	ADP
cana-1238	205	14	2d	2d	NUM
cana-1238	205	15	photos	photo	NOUN
cana-1238	205	16	,	,	PUNCT
cana-1238	205	17	mengke	mengke	PROPN
cana-1238	205	18	lu	lu	PROPN
cana-1238	205	19	,	,	PUNCT
cana-1238	205	20	jiaming	jiame	VERB
cana-1238	205	21	zhang	zhang	PROPN
cana-1238	205	22	,	,	PUNCT
cana-1238	205	23	lei	lei	PROPN
cana-1238	205	24	tang	tang	PROPN
cana-1238	205	25	,	,	PUNCT
cana-1238	205	26	hongtao	hongtao	PROPN
cana-1238	205	27	wei	wei	PROPN
cana-1238	205	28	.	.	PUNCT
cana-1238	206	1	[	[	X
cana-1238	206	2	10	10	NUM
cana-1238	206	3	]	]	X
cana-1238	206	4	compositional	compositional	ADJ
cana-1238	206	5	3d	3d	NUM
cana-1238	206	6	human	human	ADJ
cana-1238	206	7	generation	generation	NOUN
cana-1238	206	8	from	from	ADP
cana-1238	206	9	2d	2d	NUM
cana-1238	206	10	image	image	NOUN
cana-1238	206	11	collections	collection	NOUN
cana-1238	206	12	,	,	PUNCT
cana-1238	206	13	fangzhou	fangzhou	PROPN
cana-1238	206	14	hong	hong	PROPN
cana-1238	206	15	zhaoxi	zhaoxi	PROPN
cana-1238	206	16	chen	chen	PROPN
cana-1238	206	17	yushi	yushi	PROPN
cana-1238	206	18	lan	lan	PROPN
cana-1238	206	19	liang	liang	PROPN
cana-1238	206	20	pan	pan	PROPN
cana-1238	206	21	ziwei	ziwei	PROPN
cana-1238	206	22	liu	liu	PROPN
cana-1238	206	23	.	.	PUNCT
cana-1238	207	1	[	[	X
cana-1238	207	2	11	11	NUM
cana-1238	207	3	]	]	PUNCT
cana-1238	207	4	s.	s.	PROPN
cana-1238	207	5	s.	s.	PROPN
cana-1238	207	6	mercy	mercy	PROPN
cana-1238	207	7	,	,	PUNCT
cana-1238	207	8	s.	s.	PROPN
cana-1238	207	9	madhavi	madhavi	PROPN
cana-1238	207	10	,	,	PUNCT
cana-1238	207	11	k.	k.	PROPN
cana-1238	207	12	a	a	PROPN
cana-1238	207	13	,	,	PUNCT
cana-1238	207	14	c.	c.	PROPN
cana-1238	207	15	prathima	prathima	NOUN
cana-1238	207	16	and	and	CCONJ
cana-1238	207	17	r.	r.	PROPN
cana-1238	207	18	t.	t.	PROPN
cana-1238	207	19	prabhu	prabhu	PROPN
cana-1238	207	20	,	,	PUNCT
cana-1238	207	21	"	"	PUNCT
cana-1238	207	22	diagnostic	diagnostic	ADJ
cana-1238	207	23	framework	framework	NOUN
cana-1238	207	24	for	for	ADP
cana-1238	207	25	mumps	mump	NOUN
cana-1238	207	26	based	base	VERB
cana-1238	207	27	on	on	ADP
cana-1238	207	28	deep	deep	ADJ
cana-1238	207	29	learning	learning	NOUN
cana-1238	207	30	with	with	ADP
cana-1238	207	31	enhanced	enhanced	ADJ
cana-1238	207	32	mayfly	mayfly	NOUN
cana-1238	207	33	optimization	optimization	NOUN
cana-1238	207	34	algorithm	algorithm	NOUN
cana-1238	207	35	,	,	PUNCT
cana-1238	207	36	"	"	PUNCT
cana-1238	207	37	2023	2023	NUM
cana-1238	207	38	international	international	ADJ
cana-1238	207	39	conference	conference	NOUN
cana-1238	207	40	on	on	ADP
cana-1238	207	41	ambient	ambient	ADJ
cana-1238	207	42	intelligence	intelligence	NOUN
cana-1238	207	43	,	,	PUNCT
cana-1238	207	44	knowledge	knowledge	NOUN
cana-1238	207	45	informatics	informatic	NOUN
cana-1238	207	46	and	and	CCONJ
cana-1238	207	47	industrial	industrial	ADJ
cana-1238	207	48	electronics	electronic	NOUN
cana-1238	207	49	(	(	PUNCT
cana-1238	207	50	aikiie	aikiie	NOUN
cana-1238	207	51	)	)	PUNCT
cana-1238	207	52	,	,	PUNCT
cana-1238	207	53	ballari	ballari	NOUN
cana-1238	207	54	,	,	PUNCT
cana-1238	207	55	india	india	PROPN
cana-1238	207	56	,	,	PUNCT
cana-1238	207	57	2023	2023	NUM
cana-1238	207	58	,	,	PUNCT
cana-1238	207	59	pp	pp	ADJ
cana-1238	207	60	.	.	PUNCT
cana-1238	207	61	1	1	NUM
cana-1238	207	62	-	-	SYM
cana-1238	207	63	6	6	NUM
cana-1238	207	64	,	,	PUNCT
cana-1238	207	65	doi	doi	NOUN
cana-1238	207	66	:	:	PUNCT
cana-1238	207	67	10.1109	10.1109	NUM
cana-1238	207	68	/	/	SYM
cana-1238	207	69	aikiie60097.2023.10390030	aikiie60097.2023.10390030	PROPN
cana-1238	207	70	.	.	PUNCT
cana-1238	208	1	[	[	X
cana-1238	208	2	12	12	NUM
cana-1238	208	3	]	]	X
cana-1238	208	4	c.	c.	NOUN
cana-1238	208	5	prathima	prathima	NOUN
cana-1238	208	6	and	and	CCONJ
cana-1238	208	7	n.	n.	PROPN
cana-1238	208	8	b.	b.	PROPN
cana-1238	208	9	muppalaneni	muppalaneni	PROPN
cana-1238	208	10	,	,	PUNCT
cana-1238	208	11	"	"	PUNCT
cana-1238	208	12	a	a	DET
cana-1238	208	13	novel	novel	ADJ
cana-1238	208	14	framework	framework	NOUN
cana-1238	208	15	for	for	ADP
cana-1238	208	16	handling	handle	VERB
cana-1238	208	17	duplicate	duplicate	ADJ
cana-1238	208	18	images	image	NOUN
cana-1238	208	19	using	use	VERB
cana-1238	208	20	hashing	hash	VERB
cana-1238	208	21	techniques	technique	NOUN
cana-1238	208	22	,	,	PUNCT
cana-1238	208	23	"	"	PUNCT
cana-1238	208	24	2023	2023	NUM
cana-1238	208	25	3rd	3rd	ADJ
cana-1238	208	26	international	international	ADJ
cana-1238	208	27	conference	conference	NOUN
cana-1238	208	28	on	on	ADP
cana-1238	208	29	innovative	innovative	ADJ
cana-1238	208	30	mechanisms	mechanism	NOUN
cana-1238	208	31	for	for	ADP
cana-1238	208	32	industry	industry	NOUN
cana-1238	208	33	applications	application	NOUN
cana-1238	208	34	(	(	PUNCT
cana-1238	208	35	icimia	icimia	NOUN
cana-1238	208	36	)	)	PUNCT
cana-1238	208	37	,	,	PUNCT
cana-1238	208	38	bengaluru	bengaluru	PROPN
cana-1238	208	39	,	,	PUNCT
cana-1238	208	40	india	india	PROPN
cana-1238	208	41	,	,	PUNCT
cana-1238	208	42	2023	2023	NUM
cana-1238	208	43	,	,	PUNCT
cana-1238	208	44	pp	pp	PROPN
cana-1238	208	45	.	.	PUNCT
cana-1238	209	1	984	984	NUM
cana-1238	209	2	-	-	SYM
cana-1238	209	3	991	991	NUM
cana-1238	209	4	,	,	PUNCT
cana-1238	209	5	doi	doi	NOUN
cana-1238	209	6	:	:	PUNCT
cana-1238	209	7	10.1109	10.1109	NUM
cana-1238	209	8	/	/	SYM
cana-1238	209	9	icimia60377.2023.10425973	icimia60377.2023.10425973	PROPN
cana-1238	209	10	.	.	PUNCT
cana-1238	210	1	[	[	X
cana-1238	210	2	13	13	NUM
cana-1238	210	3	]	]	PUNCT
cana-1238	210	4	ahammad	ahammad	NOUN
cana-1238	210	5	,	,	PUNCT
cana-1238	210	6	s.h	s.h	PROPN
cana-1238	210	7	.	.	PROPN
cana-1238	210	8	,	,	PUNCT
cana-1238	210	9	jayaraj	jayaraj	PROPN
cana-1238	210	10	,	,	PUNCT
cana-1238	210	11	r.	r.	PROPN
cana-1238	210	12	,	,	PUNCT
cana-1238	210	13	shibu	shibu	PROPN
cana-1238	210	14	,	,	PUNCT
cana-1238	211	1	s.	s.	PROPN
cana-1238	211	2	et	et	PROPN
cana-1238	211	3	al	al	PROPN
cana-1238	211	4	.	.	PROPN
cana-1238	211	5	advanced	advanced	PROPN
cana-1238	211	6	model	model	NOUN
cana-1238	211	7	based	base	VERB
cana-1238	211	8	machine	machine	NOUN
cana-1238	211	9	learning	learning	NOUN
cana-1238	211	10	technique	technique	NOUN
cana-1238	211	11	for	for	ADP
cana-1238	211	12	early	early	ADJ
cana-1238	211	13	stage	stage	NOUN
cana-1238	211	14	prediction	prediction	NOUN
cana-1238	211	15	of	of	ADP
cana-1238	211	16	ankylosing	ankylose	VERB
cana-1238	211	17	spondylitis	spondylitis	NOUN
cana-1238	211	18	under	under	ADP
cana-1238	211	19	timely	timely	ADJ
cana-1238	211	20	analysis	analysis	NOUN
cana-1238	211	21	with	with	ADP
cana-1238	211	22	featured	feature	VERB
cana-1238	211	23	textures	texture	NOUN
cana-1238	211	24	.	.	PUNCT
cana-1238	212	1	multimed	multime	VERB
cana-1238	212	2	tools	tool	NOUN
cana-1238	212	3	appl	appl	NOUN
cana-1238	212	4	(	(	PUNCT
cana-1238	212	5	2024	2024	NUM
cana-1238	212	6	)	)	PUNCT
cana-1238	212	7	.	.	PUNCT
cana-1238	213	1	https://doi.org/10.1007/s11042-024-18236-6	https://doi.org/10.1007/s11042-024-18236-6	NUM
cana-1238	214	1	[	[	X
cana-1238	214	2	14	14	NUM
cana-1238	214	3	]	]	PUNCT
cana-1238	214	4	a.	a.	NOUN
cana-1238	214	5	ganesh	ganesh	PROPN
cana-1238	214	6	,	,	PUNCT
cana-1238	214	7	s.	s.	PROPN
cana-1238	214	8	.	.	PUNCT
cana-1238	215	1	depuru	depuru	PROPN
cana-1238	215	2	,	,	PUNCT
cana-1238	215	3	b.	b.	PROPN
cana-1238	215	4	.	.	PUNCT
cana-1238	216	1	reddy	reddy	PROPN
cana-1238	216	2	a.	a.	PROPN
cana-1238	216	3	,	,	PUNCT
cana-1238	216	4	and	and	CCONJ
cana-1238	216	5	g.	g.	PROPN
cana-1238	216	6	.	.	PUNCT
cana-1238	217	1	sujatha	sujatha	PROPN
cana-1238	217	2	,	,	PUNCT
cana-1238	217	3	“	"	PUNCT
cana-1238	217	4	streamlining	streamline	VERB
cana-1238	217	5	cancer	cancer	NOUN
cana-1238	217	6	diagnosis	diagnosis	NOUN
cana-1238	217	7	and	and	CCONJ
cana-1238	217	8	prognosis	prognosis	NOUN
cana-1238	217	9	system	system	NOUN
cana-1238	217	10	using	use	VERB
cana-1238	217	11	hybrid	hybrid	ADJ
cana-1238	217	12	cnn	cnn	PROPN
cana-1238	217	13	-	-	PUNCT
cana-1238	217	14	npr	npr	PROPN
cana-1238	217	15	:	:	PUNCT
cana-1238	217	16	deep	deep	ADJ
cana-1238	217	17	learning	learning	NOUN
cana-1238	217	18	approaches	approach	NOUN
cana-1238	217	19	”	"	PUNCT
cana-1238	217	20	,	,	PUNCT
cana-1238	217	21	int	int	PROPN
cana-1238	217	22	j	j	PROPN
cana-1238	217	23	intell	intell	PROPN
cana-1238	217	24	syst	syst	PROPN
cana-1238	217	25	appl	appl	PROPN
cana-1238	217	26	eng	eng	PROPN
cana-1238	217	27	,	,	PUNCT
cana-1238	217	28	vol	vol	NOUN
cana-1238	217	29	.	.	PROPN
cana-1238	217	30	12	12	NUM
cana-1238	217	31	,	,	PUNCT
cana-1238	217	32	no	no	INTJ
cana-1238	217	33	.	.	PUNCT
cana-1238	217	34	3s	3s	NOUN
cana-1238	217	35	,	,	PUNCT
cana-1238	217	36	pp	pp	ADV
cana-1238	217	37	.	.	PUNCT
cana-1238	218	1	190–201	190–201	NUM
cana-1238	218	2	,	,	PUNCT
cana-1238	218	3	nov	nov	PROPN
cana-1238	218	4	.	.	PROPN
cana-1238	218	5	2023	2023	NUM
cana-1238	218	6	.	.	PUNCT
cana-1238	219	1	[	[	X
cana-1238	219	2	15	15	NUM
cana-1238	219	3	]	]	X
cana-1238	219	4	shola	shola	NOUN
cana-1238	219	5	usharani	usharani	NOUN
cana-1238	219	6	,	,	PUNCT
cana-1238	219	7	rajarajeswari	rajarajeswari	PROPN
cana-1238	219	8	subbaraj	subbaraj	PROPN
cana-1238	219	9	,	,	PUNCT
cana-1238	219	10	appalaraju	appalaraju	PROPN
cana-1238	219	11	muralidhar	muralidhar	PROPN
cana-1238	219	12	,	,	PUNCT
cana-1238	219	13	gayathri	gayathri	PROPN
cana-1238	219	14	rajakumaran	rajakumaran	PROPN
cana-1238	219	15	,	,	PUNCT
cana-1238	219	16	sivakumar	sivakumar	PROPN
cana-1238	219	17	depuru	depuru	PROPN
cana-1238	219	18	,	,	PUNCT
cana-1238	219	19	srinivas	srinivas	PROPN
cana-1238	219	20	nandam	nandam	PROPN
cana-1238	219	21	,	,	PUNCT
cana-1238	219	22	"	"	PUNCT
cana-1238	219	23	improvised	improvise	VERB
cana-1238	219	24	schinder	schinder	ADJ
cana-1238	219	25	model	model	NOUN
cana-1238	219	26	for	for	ADP
cana-1238	219	27	anaesthesia	anaesthesia	NOUN
cana-1238	219	28	drug	drug	NOUN
cana-1238	219	29	delivery	delivery	NOUN
cana-1238	219	30	in	in	ADP
cana-1238	219	31	obese	obese	ADJ
cana-1238	219	32	patients	patient	NOUN
cana-1238	219	33	with	with	ADP
cana-1238	219	34	optimized	optimize	VERB
cana-1238	219	35	infusion	infusion	NOUN
cana-1238	219	36	rate	rate	NOUN
cana-1238	219	37	and	and	CCONJ
cana-1238	219	38	patient	patient	ADJ
cana-1238	219	39	safety	safety	NOUN
cana-1238	219	40	,	,	PUNCT
cana-1238	219	41	"	"	PUNCT
cana-1238	219	42	international	international	ADJ
cana-1238	219	43	journal	journal	NOUN
cana-1238	219	44	of	of	ADP
cana-1238	219	45	engineering	engineering	NOUN
cana-1238	219	46	trends	trend	NOUN
cana-1238	219	47	and	and	CCONJ
cana-1238	219	48	technology	technology	NOUN
cana-1238	219	49	,	,	PUNCT
cana-1238	219	50	vol	vol	NOUN
cana-1238	219	51	.	.	PROPN
cana-1238	219	52	71	71	NUM
cana-1238	219	53	,	,	PUNCT
cana-1238	219	54	no	no	INTJ
cana-1238	219	55	.	.	NOUN
cana-1238	219	56	9	9	NUM
cana-1238	219	57	,	,	PUNCT
cana-1238	219	58	pp	pp	ADJ
cana-1238	219	59	.	.	PUNCT
cana-1238	220	1	256	256	NUM
cana-1238	220	2	-	-	SYM
cana-1238	220	3	264	264	NUM
cana-1238	220	4	,	,	PUNCT
cana-1238	220	5	2023	2023	NUM
cana-1238	220	6	.	.	PUNCT
cana-1238	221	1	crossref	crossref	NOUN
cana-1238	221	2	,	,	PUNCT
cana-1238	221	3	https://doi.org/10.14445/22315381/ijett-v71i9p223	https://doi.org/10.14445/22315381/ijett-v71i9p223	X
cana-1238	222	1	[	[	X
cana-1238	222	2	16	16	NUM
cana-1238	222	3	]	]	PUNCT
cana-1238	222	4	k.	k.	PROPN
cana-1238	222	5	pujitha	pujitha	PROPN
cana-1238	222	6	,	,	PUNCT
cana-1238	222	7	kattamanchi	kattamanchi	PROPN
cana-1238	222	8	prem	prem	PROPN
cana-1238	222	9	krishna	krishna	PROPN
cana-1238	222	10	,	,	PUNCT
cana-1238	222	11	k.	k.	PROPN
cana-1238	222	12	amala	amala	PROPN
cana-1238	222	13	,	,	PUNCT
cana-1238	222	14	annavarapu	annavarapu	PROPN
cana-1238	222	15	yasaswini	yasaswini	PROPN
cana-1238	222	16	,	,	PUNCT
cana-1238	222	17	sivakumar	sivakumar	PROPN
cana-1238	222	18	depuru	depuru	PROPN
cana-1238	222	19	,	,	PUNCT
cana-1238	222	20	kopparam	kopparam	NOUN
cana-1238	222	21	runvika	runvika	NOUN
cana-1238	222	22	,	,	PUNCT
cana-1238	222	23	“	"	PUNCT
cana-1238	222	24	development	development	NOUN
cana-1238	222	25	of	of	ADP
cana-1238	222	26	secured	secure	VERB
cana-1238	222	27	online	online	ADJ
cana-1238	222	28	parking	parking	NOUN
cana-1238	222	29	spaces	space	NOUN
cana-1238	222	30	”	"	PUNCT
cana-1238	222	31	,	,	PUNCT
cana-1238	222	32	journal	journal	NOUN
cana-1238	222	33	of	of	ADP
cana-1238	222	34	pharmaceutical	pharmaceutical	ADJ
cana-1238	222	35	negative	negative	ADJ
cana-1238	222	36	results	result	NOUN
cana-1238	222	37	,	,	PUNCT
cana-1238	222	38	vol	vol	NOUN
cana-1238	222	39	.	.	PROPN
cana-1238	222	40	13	13	NUM
cana-1238	222	41	,	,	PUNCT
cana-1238	222	42	no	no	INTJ
cana-1238	222	43	.	.	NOUN
cana-1238	222	44	4	4	NUM
cana-1238	222	45	,	,	PUNCT
cana-1238	222	46	pp	pp	ADJ
cana-1238	222	47	.	.	PUNCT
cana-1238	223	1	1010–1013	1010–1013	NUM
cana-1238	223	2	,	,	PUNCT
cana-1238	223	3	nov	nov	PROPN
cana-1238	223	4	.	.	PROPN
cana-1238	223	5	2022	2022	NUM
cana-1238	223	6	.	.	PUNCT
cana-1238	224	1	[	[	X
cana-1238	224	2	17	17	NUM
cana-1238	224	3	]	]	X
cana-1238	224	4	sivakumar	sivakumar	PROPN
cana-1238	224	5	depuru	depuru	PROPN
cana-1238	224	6	,	,	PUNCT
cana-1238	224	7	anjana	anjana	PROPN
cana-1238	224	8	nandam	nandam	PROPN
cana-1238	224	9	,	,	PUNCT
cana-1238	224	10	p.a	p.a	PROPN
cana-1238	224	11	.	.	PROPN
cana-1238	224	12	ramesh	ramesh	PROPN
cana-1238	224	13	,	,	PUNCT
cana-1238	224	14	m.	m.	NOUN
cana-1238	224	15	saktivel	saktivel	PROPN
cana-1238	224	16	,	,	PUNCT
cana-1238	224	17	k.	k.	PROPN
cana-1238	224	18	amala	amala	PROPN
cana-1238	224	19	,	,	PUNCT
cana-1238	224	20	sivanantham	sivanantham	PROPN
cana-1238	224	21	,	,	PUNCT
cana-1238	224	22	“	"	PUNCT
cana-1238	224	23	human	human	ADJ
cana-1238	224	24	emotion	emotion	NOUN
cana-1238	224	25	recognition	recognition	NOUN
cana-1238	224	26	system	system	NOUN
cana-1238	224	27	using	use	VERB
cana-1238	224	28	deep	deep	ADJ
cana-1238	224	29	learning	learning	NOUN
cana-1238	224	30	technique	technique	NOUN
cana-1238	224	31	”	"	PUNCT
cana-1238	224	32	,	,	PUNCT
cana-1238	224	33	journal	journal	NOUN
cana-1238	224	34	of	of	ADP
cana-1238	224	35	pharmaceutical	pharmaceutical	ADJ
cana-1238	224	36	negative	negative	ADJ
cana-1238	224	37	results	result	NOUN
cana-1238	224	38	,	,	PUNCT
cana-1238	224	39	vol	vol	NOUN
cana-1238	224	40	.	.	PROPN
cana-1238	224	41	13	13	NUM
cana-1238	224	42	,	,	PUNCT
cana-1238	224	43	no	no	INTJ
cana-1238	224	44	.	.	NOUN
cana-1238	224	45	4	4	NUM
cana-1238	224	46	,	,	PUNCT
cana-1238	224	47	pp	pp	ADJ
cana-1238	224	48	.	.	PUNCT
cana-1238	225	1	1031–1035	1031–1035	NUM
cana-1238	225	2	,	,	PUNCT
cana-1238	225	3	nov	nov	PROPN
cana-1238	225	4	.	.	PROPN
cana-1238	225	5	2022	2022	NUM
cana-1238	225	6	.	.	PUNCT
cana-1238	226	1	[	[	X
cana-1238	226	2	18	18	NUM
cana-1238	226	3	]	]	X
cana-1238	226	4	prathima	prathima	PROPN
cana-1238	226	5	ch	ch	PROPN
cana-1238	226	6	,	,	PUNCT
cana-1238	226	7	r.	r.	PROPN
cana-1238	226	8	swathi	swathi	PROPN
cana-1238	226	9	,	,	PUNCT
cana-1238	226	10	k.	k.	PROPN
cana-1238	226	11	suneetha	suneetha	PROPN
cana-1238	226	12	,	,	PUNCT
cana-1238	226	13	i.	i.	PROPN
cana-1238	226	14	suneetha	suneetha	PROPN
cana-1238	226	15	,	,	PUNCT
cana-1238	226	16	b.	b.	PROPN
cana-1238	226	17	v.	v.	PROPN
cana-1238	226	18	suresh	suresh	PROPN
cana-1238	226	19	reddy	reddy	PROPN
cana-1238	226	20	,	,	PUNCT
cana-1238	226	21	siva	siva	PROPN
cana-1238	226	22	kumar	kumar	PROPN
cana-1238	226	23	depuru	depuru	PROPN
cana-1238	226	24	,	,	PUNCT
cana-1238	226	25	"	"	PUNCT
cana-1238	226	26	image	image	NOUN
cana-1238	226	27	capturing	capture	VERB
cana-1238	226	28	and	and	CCONJ
cana-1238	226	29	deleting	delete	VERB
cana-1238	226	30	duplicate	duplicate	ADJ
cana-1238	226	31	images	image	NOUN
cana-1238	226	32	through	through	ADP
cana-1238	226	33	feature	feature	NOUN
cana-1238	226	34	extraction	extraction	NOUN
cana-1238	226	35	using	use	VERB
cana-1238	226	36	hashing	hash	VERB
cana-1238	226	37	techniques	technique	NOUN
cana-1238	226	38	,	,	PUNCT
cana-1238	226	39	"	"	PUNCT
cana-1238	226	40	international	international	ADJ
cana-1238	226	41	journal	journal	NOUN
cana-1238	226	42	of	of	ADP
cana-1238	226	43	engineering	engineering	NOUN
cana-1238	226	44	trends	trend	NOUN
cana-1238	226	45	and	and	CCONJ
cana-1238	226	46	technology	technology	NOUN
cana-1238	226	47	,	,	PUNCT
cana-1238	226	48	vol	vol	NOUN
cana-1238	226	49	.	.	PROPN
cana-1238	226	50	72	72	NUM
cana-1238	226	51	,	,	PUNCT
cana-1238	226	52	no	no	INTJ
cana-1238	226	53	.	.	NOUN
cana-1238	226	54	1	1	NUM
cana-1238	226	55	,	,	PUNCT
cana-1238	226	56	pp	pp	ADJ
cana-1238	226	57	.	.	PUNCT
cana-1238	226	58	64	64	NUM
cana-1238	226	59	-	-	SYM
cana-1238	226	60	70	70	NUM
cana-1238	226	61	,	,	PUNCT
cana-1238	226	62	2024	2024	NUM
cana-1238	226	63	.	.	PUNCT
cana-1238	227	1	crossref	crossref	PROPN
cana-1238	227	2	,	,	PUNCT
cana-1238	227	3	https://doi.org/10.14445/22315381/ijett-v72i1p107	https://doi.org/10.14445/22315381/ijett-v72i1p107	PROPN
cana-1238	228	1	[	[	X
cana-1238	228	2	19	19	NUM
cana-1238	228	3	]	]	X
cana-1238	228	4	s.	s.	PROPN
cana-1238	228	5	depuru	depuru	PROPN
cana-1238	228	6	,	,	PUNCT
cana-1238	228	7	s.	s.	PROPN
cana-1238	228	8	sivanantham	sivanantham	PROPN
cana-1238	228	9	,	,	PUNCT
cana-1238	228	10	k.	k.	PROPN
cana-1238	228	11	amala	amala	PROPN
cana-1238	228	12	,	,	PUNCT
cana-1238	228	13	v.	v.	PROPN
cana-1238	228	14	akshaya	akshaya	PROPN
cana-1238	228	15	,	,	PUNCT
cana-1238	228	16	m.	m.	NOUN
cana-1238	228	17	sakthivel	sakthivel	NOUN
cana-1238	228	18	and	and	CCONJ
cana-1238	228	19	p.	p.	NOUN
cana-1238	228	20	s.	s.	PROPN
cana-1238	229	1	kusuma	kusuma	PROPN
cana-1238	229	2	,	,	PUNCT
cana-1238	229	3	"	"	PUNCT
cana-1238	229	4	empirical	empirical	ADJ
cana-1238	229	5	study	study	NOUN
cana-1238	229	6	of	of	ADP
cana-1238	229	7	human	human	ADJ
cana-1238	229	8	facial	facial	ADJ
cana-1238	229	9	emotion	emotion	NOUN
cana-1238	229	10	recognition	recognition	NOUN
cana-1238	229	11	:	:	PUNCT
cana-1238	229	12	a	a	DET
cana-1238	229	13	deep	deep	ADJ
cana-1238	229	14	learning	learning	NOUN
cana-1238	229	15	,	,	PUNCT
cana-1238	229	16	"	"	PUNCT
cana-1238	229	17	2023	2023	NUM
cana-1238	229	18	international	international	ADJ
cana-1238	229	19	conference	conference	NOUN
cana-1238	229	20	on	on	ADP
cana-1238	229	21	computer	computer	NOUN
cana-1238	229	22	communication	communication	NOUN
cana-1238	229	23	and	and	CCONJ
cana-1238	229	24	informatics	informatic	NOUN
cana-1238	229	25	(	(	PUNCT
cana-1238	229	26	iccci	iccci	NOUN
cana-1238	229	27	)	)	PUNCT
cana-1238	229	28	,	,	PUNCT
cana-1238	229	29	coimbatore	coimbatore	PROPN
cana-1238	229	30	,	,	PUNCT
cana-1238	229	31	india	india	PROPN
cana-1238	229	32	,	,	PUNCT
cana-1238	229	33	2023	2023	NUM
cana-1238	229	34	,	,	PUNCT
cana-1238	229	35	pp	pp	ADJ
cana-1238	229	36	.	.	PUNCT
cana-1238	230	1	1	1	NUM
cana-1238	230	2	-	-	SYM
cana-1238	230	3	6	6	NUM
cana-1238	230	4	,	,	PUNCT
cana-1238	230	5	doi	doi	NOUN
cana-1238	230	6	:	:	PUNCT
cana-1238	230	7	10.1109	10.1109	NUM
cana-1238	230	8	/	/	SYM
cana-1238	230	9	iccci56745.2023.10128492	iccci56745.2023.10128492	PROPN
cana-1238	231	1	[	[	X
cana-1238	231	2	20	20	NUM
cana-1238	231	3	]	]	SYM
cana-1238	231	4	burada	burada	PROPN
cana-1238	231	5	,	,	PUNCT
cana-1238	231	6	s.	s.	PROPN
cana-1238	231	7	,	,	PUNCT
cana-1238	231	8	eraiah	eraiah	PROPN
cana-1238	231	9	,	,	PUNCT
cana-1238	231	10	m.	m.	PROPN
cana-1238	231	11	b.	b.	PROPN
cana-1238	231	12	,	,	PUNCT
cana-1238	231	13	&	&	CCONJ
cana-1238	231	14	kumar	kumar	PROPN
cana-1238	231	15	,	,	PUNCT
cana-1238	231	16	m.	m.	NOUN
cana-1238	231	17	s.	s.	PROPN
cana-1238	231	18	(	(	PUNCT
cana-1238	231	19	2024	2024	NUM
cana-1238	231	20	)	)	PUNCT
cana-1238	231	21	.	.	PUNCT
cana-1238	232	1	optimal	optimal	ADJ
cana-1238	232	2	hybrid	hybrid	NOUN
cana-1238	232	3	classifier	classifier	NOUN
cana-1238	232	4	with	with	ADP
cana-1238	232	5	fine	fine	ADV
cana-1238	232	6	-	-	PUNCT
cana-1238	232	7	tuned	tune	VERB
cana-1238	232	8	hyper	hyper	ADJ
cana-1238	232	9	parameter	parameter	NOUN
cana-1238	232	10	and	and	CCONJ
cana-1238	232	11	improved	improve	VERB
cana-1238	232	12	fuzzy	fuzzy	ADJ
cana-1238	232	13	c	c	NOUN
cana-1238	232	14	means	mean	VERB
cana-1238	232	15	segmentation	segmentation	NOUN
cana-1238	232	16	:	:	PUNCT
cana-1238	232	17	skin	skin	NOUN
cana-1238	232	18	cancer	cancer	NOUN
cana-1238	232	19	detection	detection	NOUN
cana-1238	232	20	.	.	PUNCT
cana-1238	233	1	international	international	ADJ
cana-1238	233	2	journal	journal	PROPN
cana-1238	233	3	of	of	ADP
cana-1238	233	4	ad	ad	X
cana-1238	233	5	hoc	hoc	X
cana-1238	233	6	and	and	CCONJ
cana-1238	233	7	ubiquitous	ubiquitous	ADJ
cana-1238	233	8	computing	computing	NOUN
cana-1238	233	9	,	,	PUNCT
cana-1238	233	10	45(1	45(1	NOUN
cana-1238	233	11	)	)	PUNCT
cana-1238	233	12	,	,	PUNCT
cana-1238	233	13	52	52	NUM
cana-1238	233	14	-	-	SYM
cana-1238	233	15	64	64	NUM
cana-1238	233	16	.	.	PUNCT
cana-1238	234	1	[	[	X
cana-1238	234	2	21	21	NUM
cana-1238	234	3	]	]	X
cana-1238	234	4	godala	godala	NOUN
cana-1238	234	5	,	,	PUNCT
cana-1238	234	6	sravanthi	sravanthi	ADJ
cana-1238	234	7	,	,	PUNCT
cana-1238	234	8	and	and	CCONJ
cana-1238	234	9	m.	m.	PROPN
cana-1238	234	10	sunil	sunil	PROPN
cana-1238	234	11	kumar	kumar	PROPN
cana-1238	234	12	.	.	PUNCT
cana-1238	235	1	"	"	PUNCT
cana-1238	235	2	a	a	DET
cana-1238	235	3	weight	weight	NOUN
cana-1238	235	4	optimized	optimize	VERB
cana-1238	235	5	deep	deep	ADJ
cana-1238	235	6	learning	learning	NOUN
cana-1238	235	7	model	model	NOUN
cana-1238	235	8	for	for	ADP
cana-1238	235	9	cluster	cluster	NOUN
cana-1238	235	10	based	base	VERB
cana-1238	235	11	intrusion	intrusion	NOUN
cana-1238	235	12	detection	detection	NOUN
cana-1238	235	13	system	system	NOUN
cana-1238	235	14	.	.	PUNCT
cana-1238	235	15	"	"	PUNCT
cana-1238	236	1	optical	optical	ADJ
cana-1238	236	2	and	and	CCONJ
cana-1238	236	3	quantum	quantum	ADJ
cana-1238	236	4	electronics	electronic	NOUN
cana-1238	236	5	55.14	55.14	NUM
cana-1238	236	6	(	(	PUNCT
cana-1238	236	7	2023	2023	NUM
cana-1238	236	8	):	):	PUNCT
cana-1238	236	9	1224	1224	NUM
cana-1238	236	10	.	.	PUNCT
cana-1238	237	1	[	[	X
cana-1238	237	2	22	22	NUM
cana-1238	237	3	]	]	X
cana-1238	237	4	sangamithra	sangamithra	PROPN
cana-1238	237	5	,	,	PUNCT
cana-1238	237	6	b.	b.	PROPN
cana-1238	237	7	,	,	PUNCT
cana-1238	237	8	swamy	swamy	PROPN
cana-1238	237	9	,	,	PUNCT
cana-1238	237	10	b.	b.	PROPN
cana-1238	237	11	m.	m.	PROPN
cana-1238	237	12	,	,	PUNCT
cana-1238	237	13	&	&	CCONJ
cana-1238	237	14	kumar	kumar	PROPN
cana-1238	237	15	,	,	PUNCT
cana-1238	237	16	m.	m.	NOUN
cana-1238	237	17	s.	s.	PROPN
cana-1238	237	18	(	(	PUNCT
cana-1238	237	19	2023	2023	NUM
cana-1238	237	20	)	)	PUNCT
cana-1238	237	21	.	.	PUNCT
cana-1238	238	1	evaluating	evaluate	VERB
cana-1238	238	2	the	the	DET
cana-1238	238	3	effectiveness	effectiveness	NOUN
cana-1238	238	4	of	of	ADP
cana-1238	238	5	rnn	rnn	NOUN
cana-1238	238	6	and	and	CCONJ
cana-1238	238	7	its	its	PRON
cana-1238	238	8	variants	variant	NOUN
cana-1238	238	9	for	for	ADP
cana-1238	238	10	personalized	personalized	ADJ
cana-1238	238	11	web	web	NOUN
cana-1238	238	12	search	search	NOUN
cana-1238	238	13	.	.	PUNCT
cana-1238	239	1	optical	optical	ADJ
cana-1238	239	2	and	and	CCONJ
cana-1238	239	3	quantum	quantum	NOUN
cana-1238	239	4	electronics	electronic	NOUN
cana-1238	239	5	,	,	PUNCT
cana-1238	239	6	55(13	55(13	NUM
cana-1238	239	7	)	)	PUNCT
cana-1238	239	8	,	,	PUNCT
cana-1238	239	9	1202	1202	NUM
cana-1238	239	10	.	.	PUNCT
cana-1238	240	1	[	[	X
cana-1238	240	2	23	23	NUM
cana-1238	240	3	]	]	X
cana-1238	240	4	gandikota	gandikota	ADJ
cana-1238	240	5	,	,	PUNCT
cana-1238	240	6	hari	hari	PROPN
cana-1238	240	7	prasad	prasad	PROPN
cana-1238	240	8	,	,	PUNCT
cana-1238	240	9	s.	s.	PROPN
cana-1238	240	10	abirami	abirami	PROPN
cana-1238	240	11	,	,	PUNCT
cana-1238	240	12	and	and	CCONJ
cana-1238	240	13	m.	m.	PROPN
cana-1238	240	14	sunil	sunil	PROPN
cana-1238	240	15	kumar	kumar	PROPN
cana-1238	240	16	.	.	PUNCT
cana-1238	241	1	"	"	PUNCT
cana-1238	241	2	bottleneck	bottleneck	VERB
cana-1238	241	3	feature	feature	NOUN
cana-1238	241	4	-	-	PUNCT
cana-1238	241	5	based	base	VERB
cana-1238	241	6	u	u	NOUN
cana-1238	241	7	-	-	NOUN
cana-1238	241	8	net	net	ADJ
cana-1238	241	9	for	for	ADP
cana-1238	241	10	automated	automate	VERB
cana-1238	241	11	detection	detection	NOUN
cana-1238	241	12	and	and	CCONJ
cana-1238	241	13	segmentation	segmentation	NOUN
cana-1238	241	14	of	of	ADP
cana-1238	241	15	gastrointestinal	gastrointestinal	ADJ
cana-1238	241	16	tract	tract	NOUN
cana-1238	241	17	tumors	tumor	NOUN
cana-1238	241	18	from	from	ADP
cana-1238	241	19	ct	ct	NUM
cana-1238	241	20	scans	scan	NOUN
cana-1238	241	21	.	.	PUNCT
cana-1238	241	22	"	"	PUNCT
cana-1238	242	1	traitement	traitement	ADJ
cana-1238	242	2	du	du	PROPN
cana-1238	242	3	signal	signal	NOUN
cana-1238	242	4	40.6	40.6	NUM
cana-1238	242	5	(	(	PUNCT
cana-1238	242	6	2023	2023	NUM
cana-1238	242	7	)	)	PUNCT
cana-1238	242	8	.	.	PUNCT
cana-1238	243	1	[	[	X
cana-1238	243	2	24	24	NUM
cana-1238	243	3	]	]	SYM
cana-1238	243	4	gandikota	gandikota	NOUN
cana-1238	243	5	,	,	PUNCT
cana-1238	243	6	hari	hari	PROPN
cana-1238	243	7	prasad	prasad	PROPN
cana-1238	243	8	,	,	PUNCT
cana-1238	243	9	s.	s.	PROPN
cana-1238	243	10	abirami	abirami	PROPN
cana-1238	243	11	,	,	PUNCT
cana-1238	243	12	and	and	CCONJ
cana-1238	243	13	m.	m.	PROPN
cana-1238	243	14	sunil	sunil	PROPN
cana-1238	243	15	kumar	kumar	PROPN
cana-1238	243	16	.	.	PUNCT
cana-1238	244	1	"	"	PUNCT
cana-1238	244	2	an	an	DET
cana-1238	244	3	enhanced	enhanced	ADJ
cana-1238	244	4	approach	approach	NOUN
cana-1238	244	5	to	to	ADP
cana-1238	244	6	liver	liver	NOUN
cana-1238	244	7	disease	disease	NOUN
cana-1238	244	8	classification	classification	NOUN
cana-1238	244	9	:	:	PUNCT
cana-1238	244	10	implementing	implement	VERB
cana-1238	244	11	convolutional	convolutional	ADJ
cana-1238	244	12	neural	neural	ADJ
cana-1238	244	13	network	network	NOUN
cana-1238	244	14	with	with	ADP
cana-1238	244	15	attention	attention	NOUN
cana-1238	244	16	layer	layer	NOUN
cana-1238	244	17	gated	gate	VERB
cana-1238	244	18	recurrent	recurrent	ADJ
cana-1238	244	19	unit	unit	NOUN
cana-1238	244	20	.	.	PUNCT
cana-1238	244	21	"	"	PUNCT
cana-1238	245	1	ingénierie	ingénierie	PROPN
cana-1238	245	2	des	des	PROPN
cana-1238	245	3	systèmes	systèmes	X
cana-1238	245	4	d'information	d'information	PROPN
cana-1238	245	5	28.4	28.4	NUM
cana-1238	245	6	(	(	PUNCT
cana-1238	245	7	2023	2023	NUM
cana-1238	245	8	)	)	PUNCT
cana-1238	245	9	.	.	PUNCT
cana-1238	246	1	[	[	X
cana-1238	246	2	25	25	NUM
cana-1238	246	3	]	]	X
cana-1238	246	4	kumar	kumar	PROPN
cana-1238	246	5	,	,	PUNCT
cana-1238	246	6	m.	m.	NOUN
cana-1238	246	7	sunil	sunil	PROPN
cana-1238	246	8	,	,	PUNCT
cana-1238	246	9	et	et	PROPN
cana-1238	246	10	al	al	PROPN
cana-1238	246	11	.	.	PUNCT
cana-1238	247	1	"	"	PUNCT
cana-1238	247	2	crop	crop	NOUN
cana-1238	247	3	yield	yield	NOUN
cana-1238	247	4	prediction	prediction	NOUN
cana-1238	247	5	using	use	VERB
cana-1238	247	6	machine	machine	NOUN
cana-1238	247	7	learning	learning	NOUN
cana-1238	247	8	.	.	PUNCT
cana-1238	247	9	"	"	PUNCT
cana-1238	248	1	2023	2023	NUM
cana-1238	248	2	international	international	ADJ
cana-1238	248	3	conference	conference	NOUN
cana-1238	248	4	on	on	ADP
cana-1238	248	5	sustainable	sustainable	ADJ
cana-1238	248	6	emerging	emerge	VERB
cana-1238	248	7	innovations	innovation	NOUN
cana-1238	248	8	in	in	ADP
cana-1238	248	9	engineering	engineering	NOUN
cana-1238	248	10	and	and	CCONJ
cana-1238	248	11	technology	technology	NOUN
cana-1238	248	12	(	(	PUNCT
cana-1238	248	13	icseiet	icseiet	NOUN
cana-1238	248	14	)	)	PUNCT
cana-1238	248	15	.	.	PUNCT
cana-1238	249	1	ieee	ieee	NOUN
cana-1238	249	2	,	,	PUNCT
cana-1238	249	3	2023	2023	NUM
cana-1238	249	4	.	.	PUNCT
cana-1238	250	1	communications	communication	NOUN
cana-1238	250	2	on	on	ADP
cana-1238	250	3	applied	apply	VERB
cana-1238	250	4	nonlinear	nonlinear	ADJ
cana-1238	250	5	analysis	analysis	NOUN
cana-1238	250	6	issn	issn	NOUN
cana-1238	250	7	:	:	PUNCT
cana-1238	250	8	1074	1074	NUM
cana-1238	250	9	-	-	PUNCT
cana-1238	250	10	133x	133x	NUM
cana-1238	250	11	vol	vol	NOUN
cana-1238	250	12	31	31	NUM
cana-1238	250	13	no	no	NOUN
cana-1238	250	14	.	.	PUNCT
cana-1238	251	1	6s	6s	NUM
cana-1238	251	2	(	(	PUNCT
cana-1238	251	3	2024	2024	NUM
cana-1238	251	4	)	)	PUNCT
cana-1238	251	5	488	488	NUM
cana-1238	251	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1238	252	1	[	[	X
cana-1238	252	2	26	26	NUM
cana-1238	252	3	]	]	X
cana-1238	252	4	kumar	kumar	PROPN
cana-1238	252	5	,	,	PUNCT
cana-1238	252	6	m.	m.	NOUN
cana-1238	252	7	sunil	sunil	PROPN
cana-1238	252	8	,	,	PUNCT
cana-1238	252	9	et	et	PROPN
cana-1238	252	10	al	al	PROPN
cana-1238	252	11	.	.	PUNCT
cana-1238	253	1	"	"	PUNCT
cana-1238	253	2	enhancing	enhance	VERB
cana-1238	253	3	sentiment	sentiment	NOUN
cana-1238	253	4	analysis	analysis	NOUN
cana-1238	253	5	with	with	ADP
cana-1238	253	6	an	an	DET
cana-1238	253	7	attentionbased	attentionbase	VERB
cana-1238	253	8	machine	machine	NOUN
cana-1238	253	9	learning	learning	NOUN
cana-1238	253	10	model	model	NOUN
cana-1238	253	11	.	.	PUNCT
cana-1238	253	12	"	"	PUNCT
cana-1238	254	1	2023	2023	NUM
cana-1238	254	2	3rd	3rd	ADJ
cana-1238	254	3	international	international	ADJ
cana-1238	254	4	conference	conference	NOUN
cana-1238	254	5	on	on	ADP
cana-1238	254	6	technological	technological	ADJ
cana-1238	254	7	advancements	advancement	NOUN
cana-1238	254	8	in	in	ADP
cana-1238	254	9	computational	computational	ADJ
cana-1238	254	10	sciences	science	NOUN
cana-1238	254	11	(	(	PUNCT
cana-1238	254	12	ictacs	ictac	NOUN
cana-1238	254	13	)	)	PUNCT
cana-1238	254	14	.	.	PUNCT
cana-1238	255	1	ieee	ieee	NOUN
cana-1238	255	2	,	,	PUNCT
cana-1238	255	3	2023	2023	NUM
cana-1238	255	4	.	.	PUNCT
cana-1238	256	1	[	[	X
cana-1238	256	2	27	27	NUM
cana-1238	256	3	]	]	X
cana-1238	256	4	kumar	kumar	PROPN
cana-1238	256	5	,	,	PUNCT
cana-1238	256	6	m.	m.	NOUN
cana-1238	256	7	sunil	sunil	PROPN
cana-1238	256	8	,	,	PUNCT
cana-1238	256	9	et	et	PROPN
cana-1238	256	10	al	al	PROPN
cana-1238	256	11	.	.	PUNCT
cana-1238	257	1	"	"	PUNCT
cana-1238	257	2	advancements	advancement	NOUN
cana-1238	257	3	in	in	ADP
cana-1238	257	4	heart	heart	NOUN
cana-1238	257	5	disease	disease	NOUN
cana-1238	257	6	prediction	prediction	NOUN
cana-1238	257	7	:	:	PUNCT
cana-1238	257	8	a	a	DET
cana-1238	257	9	comprehensive	comprehensive	ADJ
cana-1238	257	10	review	review	NOUN
cana-1238	257	11	of	of	ADP
cana-1238	257	12	ml	ml	NOUN
cana-1238	257	13	and	and	CCONJ
cana-1238	257	14	dl	dl	PROPN
cana-1238	257	15	algorithms	algorithm	NOUN
cana-1238	257	16	.	.	PUNCT
cana-1238	257	17	"	"	PUNCT
cana-1238	258	1	2023	2023	NUM
cana-1238	258	2	3rd	3rd	ADJ
cana-1238	258	3	international	international	ADJ
cana-1238	258	4	conference	conference	NOUN
cana-1238	258	5	on	on	ADP
cana-1238	258	6	technological	technological	ADJ
cana-1238	258	7	advancements	advancement	NOUN
cana-1238	258	8	in	in	ADP
cana-1238	258	9	computational	computational	ADJ
cana-1238	258	10	sciences	science	NOUN
cana-1238	258	11	(	(	PUNCT
cana-1238	258	12	ictacs	ictac	NOUN
cana-1238	258	13	)	)	PUNCT
cana-1238	258	14	.	.	PUNCT
cana-1238	259	1	ieee	ieee	NOUN
cana-1238	259	2	,	,	PUNCT
cana-1238	259	3	2023	2023	NUM
cana-1238	259	4	.	.	PUNCT
cana-1238	260	1	[	[	X
cana-1238	260	2	28	28	NUM
cana-1238	260	3	]	]	X
cana-1238	260	4	walde	walde	NOUN
cana-1238	260	5	,	,	PUNCT
cana-1238	260	6	rajesh	rajesh	PROPN
cana-1238	260	7	b.	b.	PROPN
cana-1238	260	8	,	,	PUNCT
cana-1238	260	9	et	et	PROPN
cana-1238	260	10	al	al	PROPN
cana-1238	260	11	.	.	PUNCT
cana-1238	261	1	"	"	PUNCT
cana-1238	261	2	ranking	rank	VERB
cana-1238	261	3	based	base	VERB
cana-1238	261	4	security	security	NOUN
cana-1238	261	5	scheme	scheme	NOUN
cana-1238	261	6	with	with	ADP
cana-1238	261	7	attack	attack	NOUN
cana-1238	261	8	detection	detection	NOUN
cana-1238	261	9	and	and	CCONJ
cana-1238	261	10	improved	improve	VERB
cana-1238	261	11	network	network	NOUN
cana-1238	261	12	security	security	NOUN
cana-1238	261	13	.	.	PUNCT
cana-1238	261	14	"	"	PUNCT
cana-1238	262	1	international	international	ADJ
cana-1238	262	2	journal	journal	NOUN
cana-1238	262	3	of	of	ADP
cana-1238	262	4	intelligent	intelligent	ADJ
cana-1238	262	5	systems	system	NOUN
cana-1238	262	6	and	and	CCONJ
cana-1238	262	7	applications	application	NOUN
cana-1238	262	8	in	in	ADP
cana-1238	262	9	engineering	engineer	VERB
cana-1238	262	10	11.3s	11.3s	NUM
cana-1238	262	11	(	(	PUNCT
cana-1238	262	12	2023	2023	NUM
cana-1238	262	13	):	):	PUNCT
cana-1238	262	14	35	35	NUM
cana-1238	262	15	-	-	SYM
cana-1238	262	16	41	41	NUM
cana-1238	262	17	.	.	PUNCT
cana-1238	263	1	[	[	X
cana-1238	263	2	29	29	NUM
cana-1238	263	3	]	]	X
cana-1238	263	4	ramadevi	ramadevi	PROPN
cana-1238	263	5	,	,	PUNCT
cana-1238	263	6	j.	j.	PROPN
cana-1238	263	7	,	,	PUNCT
cana-1238	263	8	sushama	sushama	PROPN
cana-1238	263	9	,	,	PUNCT
cana-1238	263	10	c.	c.	PROPN
cana-1238	263	11	,	,	PUNCT
cana-1238	263	12	balaji	balaji	PROPN
cana-1238	263	13	,	,	PUNCT
cana-1238	263	14	k.	k.	PROPN
cana-1238	263	15	,	,	PUNCT
cana-1238	263	16	talasila	talasila	NOUN
cana-1238	263	17	,	,	PUNCT
cana-1238	263	18	v.	v.	PROPN
cana-1238	263	19	,	,	PUNCT
cana-1238	263	20	&	&	CCONJ
cana-1238	263	21	sindhwani	sindhwani	PROPN
cana-1238	263	22	,	,	PUNCT
cana-1238	263	23	n.	n.	NOUN
cana-1238	263	24	(	(	PUNCT
cana-1238	263	25	2023	2023	NUM
cana-1238	263	26	)	)	PUNCT
cana-1238	263	27	.	.	PUNCT
cana-1238	264	1	ai	ai	VERB
cana-1238	264	2	enabled	enable	VERB
cana-1238	264	3	value	value	NOUN
cana-1238	264	4	-	-	PUNCT
cana-1238	264	5	oriented	orient	VERB
cana-1238	264	6	collaborative	collaborative	ADJ
cana-1238	264	7	learning	learning	NOUN
cana-1238	264	8	:	:	PUNCT
cana-1238	264	9	centre	centre	NOUN
cana-1238	264	10	for	for	ADP
cana-1238	264	11	innovative	innovative	ADJ
cana-1238	264	12	education	education	NOUN
cana-1238	264	13	.	.	PUNCT
cana-1238	265	1	the	the	DET
cana-1238	265	2	journal	journal	NOUN
cana-1238	265	3	of	of	ADP
cana-1238	265	4	high	high	ADJ
cana-1238	265	5	technology	technology	NOUN
cana-1238	265	6	management	management	NOUN
cana-1238	265	7	research	research	NOUN
cana-1238	265	8	,	,	PUNCT
cana-1238	265	9	34(2	34(2	NUM
cana-1238	265	10	)	)	PUNCT
cana-1238	265	11	,	,	PUNCT
cana-1238	265	12	100478	100478	NUM
cana-1238	265	13	.	.	PUNCT
cana-1238	266	1	[	[	X
cana-1238	266	2	30	30	NUM
cana-1238	266	3	]	]	X
cana-1238	266	4	kumar	kumar	PROPN
cana-1238	266	5	,	,	PUNCT
cana-1238	266	6	ashwini	ashwini	PROPN
cana-1238	266	7	,	,	PUNCT
cana-1238	266	8	et	et	PROPN
cana-1238	266	9	al	al	PROPN
cana-1238	266	10	.	.	PUNCT
cana-1238	267	1	"	"	PUNCT
cana-1238	267	2	markov	markov	NOUN
cana-1238	267	3	clustering	cluster	VERB
cana-1238	267	4	in	in	ADP
cana-1238	267	5	leaf	leaf	NOUN
cana-1238	267	6	disease	disease	NOUN
cana-1238	267	7	detection	detection	NOUN
cana-1238	267	8	based	base	VERB
cana-1238	267	9	on	on	ADP
cana-1238	267	10	classification	classification	NOUN
cana-1238	267	11	using	use	VERB
cana-1238	267	12	probabilistic	probabilistic	ADJ
cana-1238	267	13	naïve	naïve	ADJ
cana-1238	267	14	bayes	bayes	PROPN
cana-1238	267	15	regression	regression	NOUN
cana-1238	267	16	for	for	ADP
cana-1238	267	17	deep	deep	ADJ
cana-1238	267	18	learning	learning	NOUN
cana-1238	267	19	architecture	architecture	NOUN
cana-1238	267	20	.	.	PUNCT
cana-1238	267	21	"	"	PUNCT
cana-1238	268	1	international	international	ADJ
cana-1238	268	2	journal	journal	NOUN
cana-1238	268	3	of	of	ADP
cana-1238	268	4	intelligent	intelligent	ADJ
cana-1238	268	5	systems	system	NOUN
cana-1238	268	6	and	and	CCONJ
cana-1238	268	7	applications	application	NOUN
cana-1238	268	8	in	in	ADP
cana-1238	268	9	engineering	engineer	VERB
cana-1238	268	10	11.3s	11.3s	NUM
cana-1238	268	11	(	(	PUNCT
cana-1238	268	12	2023	2023	NUM
cana-1238	268	13	):	):	PUNCT
cana-1238	268	14	184	184	NUM
cana-1238	268	15	-	-	SYM
cana-1238	268	16	188	188	NUM
cana-1238	268	17	.	.	PUNCT
cana-1238	269	1	[	[	X
cana-1238	269	2	31	31	NUM
cana-1238	269	3	]	]	X
cana-1238	269	4	kumari	kumari	X
cana-1238	269	5	,	,	PUNCT
cana-1238	269	6	alka	alka	PROPN
cana-1238	269	7	,	,	PUNCT
cana-1238	269	8	et	et	PROPN
cana-1238	269	9	al	al	PROPN
cana-1238	269	10	.	.	PUNCT
cana-1238	270	1	"	"	PUNCT
cana-1238	270	2	a	a	DET
cana-1238	270	3	framework	framework	NOUN
cana-1238	270	4	for	for	ADP
cana-1238	270	5	extracted	extract	VERB
cana-1238	270	6	data	datum	NOUN
cana-1238	270	7	from	from	ADP
cana-1238	270	8	social	social	ADJ
cana-1238	270	9	networking	networking	NOUN
cana-1238	270	10	sites	site	NOUN
cana-1238	270	11	in	in	ADP
cana-1238	270	12	addressing	address	VERB
cana-1238	270	13	the	the	DET
cana-1238	270	14	cross	cross	ADJ
cana-1238	270	15	-	-	ADJ
cana-1238	270	16	site	site	ADJ
cana-1238	270	17	cold	cold	ADJ
cana-1238	270	18	-	-	PUNCT
cana-1238	270	19	start	start	NOUN
cana-1238	270	20	product	product	NOUN
cana-1238	270	21	recommendation	recommendation	NOUN
cana-1238	270	22	.	.	PUNCT
cana-1238	270	23	"	"	PUNCT
cana-1238	271	1	international	international	ADJ
cana-1238	271	2	journal	journal	NOUN
cana-1238	271	3	of	of	ADP
cana-1238	271	4	intelligent	intelligent	ADJ
cana-1238	271	5	systems	system	NOUN
cana-1238	271	6	and	and	CCONJ
cana-1238	271	7	applications	application	NOUN
cana-1238	271	8	in	in	ADP
cana-1238	271	9	engineering	engineer	VERB
cana-1238	271	10	10.2s	10.2s	NUM
cana-1238	271	11	(	(	PUNCT
cana-1238	271	12	2022	2022	NUM
cana-1238	271	13	):	):	PUNCT
cana-1238	271	14	286	286	NUM
cana-1238	271	15	-	-	SYM
cana-1238	271	16	290	290	NUM
cana-1238	271	17	.	.	PUNCT
cana-1238	272	1	[	[	X
cana-1238	272	2	32	32	NUM
cana-1238	272	3	]	]	X
cana-1238	272	4	manorama	manorama	PROPN
cana-1238	272	5	devi	devi	PROPN
cana-1238	272	6	,	,	PUNCT
cana-1238	272	7	bingi	bingi	PROPN
cana-1238	272	8	,	,	PUNCT
cana-1238	272	9	et	et	PROPN
cana-1238	272	10	al	al	PROPN
cana-1238	272	11	.	.	PUNCT
cana-1238	273	1	"	"	PUNCT
cana-1238	273	2	impact	impact	NOUN
cana-1238	273	3	of	of	ADP
cana-1238	273	4	covid-19	covid-19	PROPN
cana-1238	273	5	pandemic	pandemic	ADJ
cana-1238	273	6	and	and	CCONJ
cana-1238	273	7	the	the	DET
cana-1238	273	8	diagnosis	diagnosis	NOUN
cana-1238	273	9	of	of	ADP
cana-1238	273	10	the	the	DET
cana-1238	273	11	virus	virus	NOUN
cana-1238	273	12	in	in	ADP
cana-1238	273	13	the	the	DET
cana-1238	273	14	human	human	ADJ
cana-1238	273	15	body	body	NOUN
cana-1238	273	16	.	.	PUNCT
cana-1238	273	17	"	"	PUNCT
cana-1238	274	1	world	world	PROPN
cana-1238	274	2	journal	journal	NOUN
cana-1238	274	3	of	of	ADP
cana-1238	274	4	engineering	engineering	NOUN
cana-1238	274	5	19.5	19.5	NUM
cana-1238	274	6	(	(	PUNCT
cana-1238	274	7	2022	2022	NUM
cana-1238	274	8	):	):	PUNCT
cana-1238	274	9	652	652	NUM
cana-1238	274	10	-	-	SYM
cana-1238	274	11	657	657	NUM
cana-1238	274	12	.	.	PUNCT
cana-1238	275	1	[	[	X
cana-1238	275	2	33	33	NUM
cana-1238	275	3	]	]	X
cana-1238	275	4	kumar	kumar	PROPN
cana-1238	275	5	,	,	PUNCT
cana-1238	275	6	m.	m.	NOUN
cana-1238	275	7	sunil	sunil	PROPN
cana-1238	275	8	,	,	PUNCT
cana-1238	275	9	et	et	PROPN
cana-1238	275	10	al	al	PROPN
cana-1238	275	11	.	.	PUNCT
cana-1238	276	1	"	"	PUNCT
cana-1238	276	2	automated	automate	VERB
cana-1238	276	3	extraction	extraction	NOUN
cana-1238	276	4	of	of	ADP
cana-1238	276	5	non‐functional	non‐functional	ADJ
cana-1238	276	6	requirements	requirement	NOUN
cana-1238	276	7	from	from	ADP
cana-1238	276	8	text	text	NOUN
cana-1238	276	9	files	file	NOUN
cana-1238	276	10	:	:	PUNCT
cana-1238	276	11	a	a	DET
cana-1238	276	12	supervised	supervised	ADJ
cana-1238	276	13	learning	learning	NOUN
cana-1238	276	14	approach	approach	NOUN
cana-1238	276	15	.	.	PUNCT
cana-1238	276	16	"	"	PUNCT
cana-1238	277	1	handbook	handbook	NOUN
cana-1238	277	2	of	of	ADP
cana-1238	277	3	intelligent	intelligent	ADJ
cana-1238	277	4	computing	computing	NOUN
cana-1238	277	5	and	and	CCONJ
cana-1238	277	6	optimization	optimization	NOUN
cana-1238	277	7	for	for	ADP
cana-1238	277	8	sustainable	sustainable	ADJ
cana-1238	277	9	development	development	NOUN
cana-1238	277	10	(	(	PUNCT
cana-1238	277	11	2022	2022	NUM
cana-1238	277	12	):	):	PUNCT
cana-1238	277	13	149	149	NUM
cana-1238	277	14	-	-	SYM
cana-1238	277	15	170	170	NUM
cana-1238	277	16	.	.	PUNCT