id	sid	tid	token	lemma	pos
fcis-1722	1	1	frontiers	frontier	NOUN
fcis-1722	1	2	in	in	ADP
fcis-1722	1	3	computing	computing	NOUN
fcis-1722	1	4	and	and	CCONJ
fcis-1722	1	5	intelligent	intelligent	ADJ
fcis-1722	1	6	systems	system	NOUN
fcis-1722	1	7	issn	issn	VERB
fcis-1722	1	8	:	:	PUNCT
fcis-1722	1	9	2832	2832	NUM
fcis-1722	1	10	-	-	SYM
fcis-1722	1	11	6024	6024	NUM
fcis-1722	1	12	|	|	NOUN
fcis-1722	1	13	vol	vol	NOUN
fcis-1722	1	14	.	.	PROPN
fcis-1722	2	1	1	1	NUM
fcis-1722	2	2	,	,	PUNCT
fcis-1722	2	3	no	no	INTJ
fcis-1722	2	4	.	.	NOUN
fcis-1722	2	5	2	2	NUM
fcis-1722	2	6	,	,	PUNCT
fcis-1722	2	7	2022	2022	NUM
fcis-1722	2	8	50	50	NUM
fcis-1722	2	9	large	large	ADJ
fcis-1722	2	10	-	-	PUNCT
fcis-1722	2	11	scale	scale	NOUN
fcis-1722	2	12	aerosols	aerosol	NOUN
fcis-1722	2	13	visualization	visualization	NOUN
fcis-1722	2	14	based	base	VERB
fcis-1722	2	15	on	on	ADP
fcis-1722	2	16	the	the	DET
fcis-1722	2	17	accelerated	accelerated	ADJ
fcis-1722	2	18	ray	ray	NOUN
fcis-1722	2	19	casting	cast	VERB
fcis-1722	2	20	algorithm	algorithm	NOUN
fcis-1722	2	21	zefan	zefan	NOUN
fcis-1722	2	22	qi	qi	PROPN
fcis-1722	2	23	1	1	NUM
fcis-1722	2	24	,	,	PUNCT
fcis-1722	2	25	*	*	PROPN
fcis-1722	2	26	1	1	NUM
fcis-1722	2	27	college	college	NOUN
fcis-1722	2	28	of	of	ADP
fcis-1722	2	29	software	software	NOUN
fcis-1722	2	30	engineering	engineering	PROPN
fcis-1722	2	31	,	,	PUNCT
fcis-1722	2	32	chengdu	chengdu	PROPN
fcis-1722	2	33	university	university	PROPN
fcis-1722	2	34	of	of	ADP
fcis-1722	2	35	information	information	NOUN
fcis-1722	2	36	technology	technology	PROPN
fcis-1722	2	37	,	,	PUNCT
fcis-1722	2	38	chengdu	chengdu	PROPN
fcis-1722	2	39	610225	610225	NUM
fcis-1722	2	40	,	,	PUNCT
fcis-1722	2	41	china	china	PROPN
fcis-1722	2	42	.	.	PUNCT
fcis-1722	3	1	*	*	PUNCT
fcis-1722	3	2	corresponding	correspond	VERB
fcis-1722	3	3	author	author	NOUN
fcis-1722	3	4	:	:	PUNCT
fcis-1722	3	5	zefan	zefan	PROPN
fcis-1722	3	6	qi	qi	PROPN
fcis-1722	3	7	(	(	PUNCT
fcis-1722	3	8	email	email	NOUN
fcis-1722	3	9	:	:	PUNCT
fcis-1722	3	10	1269289295@qq.com	1269289295@qq.com	NUM
fcis-1722	3	11	)	)	PUNCT
fcis-1722	3	12	abstract	abstract	NOUN
fcis-1722	3	13	:	:	PUNCT
fcis-1722	3	14	the	the	DET
fcis-1722	3	15	ray	ray	NOUN
fcis-1722	3	16	casting	cast	VERB
fcis-1722	3	17	algorithm	algorithm	NOUN
fcis-1722	3	18	is	be	AUX
fcis-1722	3	19	a	a	DET
fcis-1722	3	20	widely	widely	ADV
fcis-1722	3	21	used	use	VERB
fcis-1722	3	22	basic	basic	ADJ
fcis-1722	3	23	volume	volume	NOUN
fcis-1722	3	24	rendering	rendering	NOUN
fcis-1722	3	25	algorithm	algorithm	NOUN
fcis-1722	3	26	,	,	PUNCT
fcis-1722	3	27	but	but	CCONJ
fcis-1722	3	28	traditional	traditional	ADJ
fcis-1722	3	29	ray	ray	NOUN
fcis-1722	3	30	casting	cast	VERB
fcis-1722	3	31	algorithms	algorithm	NOUN
fcis-1722	3	32	have	have	VERB
fcis-1722	3	33	some	some	DET
fcis-1722	3	34	disadvantages	disadvantage	NOUN
fcis-1722	3	35	such	such	ADJ
fcis-1722	3	36	as	as	ADP
fcis-1722	3	37	low	low	ADJ
fcis-1722	3	38	efficiency	efficiency	NOUN
fcis-1722	3	39	,	,	PUNCT
fcis-1722	3	40	slow	slow	ADJ
fcis-1722	3	41	speed	speed	NOUN
fcis-1722	3	42	and	and	CCONJ
fcis-1722	3	43	large	large	ADJ
fcis-1722	3	44	resource	resource	NOUN
fcis-1722	3	45	consumption	consumption	NOUN
fcis-1722	3	46	when	when	SCONJ
fcis-1722	3	47	rendering	render	VERB
fcis-1722	3	48	aerosol	aerosol	NOUN
fcis-1722	3	49	data	datum	NOUN
fcis-1722	3	50	such	such	ADJ
fcis-1722	3	51	as	as	ADP
fcis-1722	3	52	smoke	smoke	NOUN
fcis-1722	3	53	,	,	PUNCT
fcis-1722	3	54	fog	fog	NOUN
fcis-1722	3	55	and	and	CCONJ
fcis-1722	3	56	dust	dust	NOUN
fcis-1722	3	57	in	in	ADP
fcis-1722	3	58	3d	3d	PROPN
fcis-1722	3	59	scenes	scene	NOUN
fcis-1722	3	60	.	.	PUNCT
fcis-1722	4	1	in	in	ADP
fcis-1722	4	2	this	this	DET
fcis-1722	4	3	regard	regard	NOUN
fcis-1722	4	4	,	,	PUNCT
fcis-1722	4	5	this	this	DET
fcis-1722	4	6	paper	paper	NOUN
fcis-1722	4	7	proposes	propose	VERB
fcis-1722	4	8	a	a	DET
fcis-1722	4	9	large	large	ADJ
fcis-1722	4	10	-	-	PUNCT
fcis-1722	4	11	scale	scale	NOUN
fcis-1722	4	12	aerosol	aerosol	NOUN
fcis-1722	4	13	visualization	visualization	NOUN
fcis-1722	4	14	method	method	NOUN
fcis-1722	4	15	based	base	VERB
fcis-1722	4	16	on	on	ADP
fcis-1722	4	17	a	a	DET
fcis-1722	4	18	ray	ray	NOUN
fcis-1722	4	19	-	-	PUNCT
fcis-1722	4	20	casting	cast	VERB
fcis-1722	4	21	acceleration	acceleration	NOUN
fcis-1722	4	22	algorithm	algorithm	NOUN
fcis-1722	4	23	.	.	PUNCT
fcis-1722	5	1	a	a	DET
fcis-1722	5	2	large	large	ADJ
fcis-1722	5	3	part	part	NOUN
fcis-1722	5	4	of	of	ADP
fcis-1722	5	5	the	the	DET
fcis-1722	5	6	computational	computational	ADJ
fcis-1722	5	7	work	work	NOUN
fcis-1722	5	8	in	in	ADP
fcis-1722	5	9	a	a	DET
fcis-1722	5	10	traditional	traditional	ADJ
fcis-1722	5	11	ray	ray	NOUN
fcis-1722	5	12	casting	cast	VERB
fcis-1722	5	13	algorithm	algorithm	NOUN
fcis-1722	5	14	is	be	AUX
fcis-1722	5	15	to	to	PART
fcis-1722	5	16	compute	compute	VERB
fcis-1722	5	17	a	a	DET
fcis-1722	5	18	large	large	ADJ
fcis-1722	5	19	volume	volume	NOUN
fcis-1722	5	20	of	of	ADP
fcis-1722	5	21	data	datum	NOUN
fcis-1722	5	22	from	from	ADP
fcis-1722	5	23	the	the	DET
fcis-1722	5	24	underlying	underlie	VERB
fcis-1722	5	25	scalar	scalar	ADJ
fcis-1722	5	26	field	field	NOUN
fcis-1722	5	27	.	.	PUNCT
fcis-1722	6	1	therefore	therefore	ADV
fcis-1722	6	2	,	,	PUNCT
fcis-1722	6	3	the	the	DET
fcis-1722	6	4	accelerated	accelerate	VERB
fcis-1722	6	5	design	design	NOUN
fcis-1722	6	6	of	of	ADP
fcis-1722	6	7	the	the	DET
fcis-1722	6	8	ray	ray	NOUN
fcis-1722	6	9	casting	cast	VERB
fcis-1722	6	10	algorithm	algorithm	NOUN
fcis-1722	6	11	should	should	AUX
fcis-1722	6	12	first	first	ADV
fcis-1722	6	13	consider	consider	VERB
fcis-1722	6	14	avoiding	avoid	VERB
fcis-1722	6	15	sampling	sample	VERB
fcis-1722	6	16	of	of	ADP
fcis-1722	6	17	empty	empty	ADJ
fcis-1722	6	18	spaces	space	NOUN
fcis-1722	6	19	and	and	CCONJ
fcis-1722	6	20	invalid	invalid	ADJ
fcis-1722	6	21	voxels	voxel	NOUN
fcis-1722	6	22	,	,	PUNCT
fcis-1722	6	23	and	and	CCONJ
fcis-1722	6	24	culling	cull	VERB
fcis-1722	6	25	areas	area	NOUN
fcis-1722	6	26	in	in	ADP
fcis-1722	6	27	the	the	DET
fcis-1722	6	28	volume	volume	NOUN
fcis-1722	6	29	data	datum	NOUN
fcis-1722	6	30	that	that	PRON
fcis-1722	6	31	do	do	AUX
fcis-1722	6	32	not	not	PART
fcis-1722	6	33	contribute	contribute	VERB
fcis-1722	6	34	to	to	ADP
fcis-1722	6	35	volume	volume	NOUN
fcis-1722	6	36	rendering	rendering	NOUN
fcis-1722	6	37	.	.	PUNCT
fcis-1722	7	1	the	the	DET
fcis-1722	7	2	method	method	NOUN
fcis-1722	7	3	in	in	ADP
fcis-1722	7	4	this	this	DET
fcis-1722	7	5	paper	paper	NOUN
fcis-1722	7	6	firstly	firstly	ADV
fcis-1722	7	7	optimizes	optimize	VERB
fcis-1722	7	8	and	and	CCONJ
fcis-1722	7	9	accelerates	accelerate	VERB
fcis-1722	7	10	the	the	DET
fcis-1722	7	11	traditional	traditional	ADJ
fcis-1722	7	12	ray	ray	NOUN
fcis-1722	7	13	casting	cast	VERB
fcis-1722	7	14	algorithm	algorithm	NOUN
fcis-1722	7	15	through	through	ADP
fcis-1722	7	16	the	the	DET
fcis-1722	7	17	hierarchical	hierarchical	ADJ
fcis-1722	7	18	bounding	bounding	NOUN
fcis-1722	7	19	box	box	NOUN
fcis-1722	7	20	tree	tree	NOUN
fcis-1722	7	21	,	,	PUNCT
fcis-1722	7	22	and	and	CCONJ
fcis-1722	7	23	combines	combine	VERB
fcis-1722	7	24	the	the	DET
fcis-1722	7	25	illumination	illumination	NOUN
fcis-1722	7	26	model	model	NOUN
fcis-1722	7	27	to	to	PART
fcis-1722	7	28	enhance	enhance	VERB
fcis-1722	7	29	the	the	DET
fcis-1722	7	30	color	color	NOUN
fcis-1722	7	31	rendering	rendering	NOUN
fcis-1722	7	32	of	of	ADP
fcis-1722	7	33	each	each	DET
fcis-1722	7	34	voxel	voxel	PROPN
fcis-1722	7	35	.	.	PUNCT
fcis-1722	8	1	unnecessary	unnecessary	ADJ
fcis-1722	8	2	space	space	NOUN
fcis-1722	8	3	debris	debris	NOUN
fcis-1722	8	4	reduces	reduce	VERB
fcis-1722	8	5	hardware	hardware	NOUN
fcis-1722	8	6	load	load	NOUN
fcis-1722	8	7	,	,	PUNCT
fcis-1722	8	8	improves	improves	AUX
fcis-1722	8	9	rendering	render	VERB
fcis-1722	8	10	speed	speed	NOUN
fcis-1722	8	11	,	,	PUNCT
fcis-1722	8	12	and	and	CCONJ
fcis-1722	8	13	meets	meet	VERB
fcis-1722	8	14	the	the	DET
fcis-1722	8	15	real	real	ADJ
fcis-1722	8	16	-	-	PUNCT
fcis-1722	8	17	time	time	NOUN
fcis-1722	8	18	rendering	rendering	NOUN
fcis-1722	8	19	requirements	requirement	NOUN
fcis-1722	8	20	of	of	ADP
fcis-1722	8	21	large	large	ADJ
fcis-1722	8	22	-	-	PUNCT
fcis-1722	8	23	scale	scale	NOUN
fcis-1722	8	24	aerosols	aerosol	NOUN
fcis-1722	8	25	.	.	PUNCT
fcis-1722	9	1	keywords	keyword	NOUN
fcis-1722	9	2	:	:	PUNCT
fcis-1722	9	3	volume	volume	NOUN
fcis-1722	9	4	rendering	rendering	NOUN
fcis-1722	9	5	;	;	PUNCT
fcis-1722	9	6	ray	ray	NOUN
fcis-1722	9	7	casting	casting	NOUN
fcis-1722	9	8	;	;	PUNCT
fcis-1722	9	9	empty	empty	ADJ
fcis-1722	9	10	voxel	voxel	PROPN
fcis-1722	9	11	jump	jump	NOUN
fcis-1722	9	12	;	;	PUNCT
fcis-1722	9	13	bounding	bound	VERB
fcis-1722	9	14	volume	volume	NOUN
fcis-1722	9	15	hierarchy	hierarchy	NOUN
fcis-1722	9	16	;	;	PUNCT
fcis-1722	9	17	aerosols	aerosol	NOUN
fcis-1722	9	18	visualization	visualization	NOUN
fcis-1722	9	19	.	.	PUNCT
fcis-1722	10	1	1	1	X
fcis-1722	10	2	.	.	X
fcis-1722	10	3	introduction	introduction	NOUN
fcis-1722	10	4	the	the	DET
fcis-1722	10	5	volume	volume	NOUN
fcis-1722	10	6	rendering	render	VERB
fcis-1722	10	7	[	[	X
fcis-1722	10	8	1	1	NUM
fcis-1722	10	9	]	]	PUNCT
fcis-1722	10	10	technology	technology	NOUN
fcis-1722	10	11	is	be	AUX
fcis-1722	10	12	a	a	DET
fcis-1722	10	13	technology	technology	NOUN
fcis-1722	10	14	that	that	PRON
fcis-1722	10	15	displays	display	VERB
fcis-1722	10	16	all	all	DET
fcis-1722	10	17	volume	volume	NOUN
fcis-1722	10	18	details	detail	NOUN
fcis-1722	10	19	on	on	ADP
fcis-1722	10	20	a	a	DET
fcis-1722	10	21	two	two	NUM
fcis-1722	10	22	-	-	PUNCT
fcis-1722	10	23	dimensional	dimensional	ADJ
fcis-1722	10	24	image	image	NOUN
fcis-1722	10	25	at	at	ADP
fcis-1722	10	26	the	the	DET
fcis-1722	10	27	same	same	ADJ
fcis-1722	10	28	time	time	NOUN
fcis-1722	10	29	based	base	VERB
fcis-1722	10	30	on	on	ADP
fcis-1722	10	31	three	three	NUM
fcis-1722	10	32	-	-	PUNCT
fcis-1722	10	33	dimensional	dimensional	ADJ
fcis-1722	10	34	volume	volume	NOUN
fcis-1722	10	35	data	datum	NOUN
fcis-1722	10	36	.	.	PUNCT
fcis-1722	11	1	using	use	VERB
fcis-1722	11	2	volume	volume	NOUN
fcis-1722	11	3	rendering	rendering	NOUN
fcis-1722	11	4	technology	technology	NOUN
fcis-1722	11	5	,	,	PUNCT
fcis-1722	11	6	the	the	DET
fcis-1722	11	7	comprehensive	comprehensive	ADJ
fcis-1722	11	8	distribution	distribution	NOUN
fcis-1722	11	9	of	of	ADP
fcis-1722	11	10	various	various	ADJ
fcis-1722	11	11	substances	substance	NOUN
fcis-1722	11	12	can	can	AUX
fcis-1722	11	13	be	be	AUX
fcis-1722	11	14	displayed	display	VERB
fcis-1722	11	15	in	in	ADP
fcis-1722	11	16	one	one	NUM
fcis-1722	11	17	image	image	NOUN
fcis-1722	11	18	,	,	PUNCT
fcis-1722	11	19	and	and	CCONJ
fcis-1722	11	20	the	the	DET
fcis-1722	11	21	condition	condition	NOUN
fcis-1722	11	22	of	of	ADP
fcis-1722	11	23	the	the	DET
fcis-1722	11	24	isosurface	isosurface	NOUN
fcis-1722	11	25	can	can	AUX
fcis-1722	11	26	be	be	AUX
fcis-1722	11	27	reflected	reflect	VERB
fcis-1722	11	28	by	by	ADP
fcis-1722	11	29	controlling	control	VERB
fcis-1722	11	30	the	the	DET
fcis-1722	11	31	opacity	opacity	NOUN
fcis-1722	11	32	.	.	PUNCT
fcis-1722	12	1	volume	volume	NOUN
fcis-1722	12	2	rendering	rendering	NOUN
fcis-1722	12	3	is	be	AUX
fcis-1722	12	4	widely	widely	ADV
fcis-1722	12	5	used	use	VERB
fcis-1722	12	6	in	in	ADP
fcis-1722	12	7	medical	medical	PROPN
fcis-1722	12	8	ct	ct	PROPN
fcis-1722	12	9	imaging	imaging	NOUN
fcis-1722	12	10	,	,	PUNCT
fcis-1722	12	11	real	real	ADJ
fcis-1722	12	12	-	-	PUNCT
fcis-1722	12	13	time	time	NOUN
fcis-1722	12	14	meteorological	meteorological	ADJ
fcis-1722	12	15	observation	observation	NOUN
fcis-1722	12	16	,	,	PUNCT
fcis-1722	12	17	geological	geological	ADJ
fcis-1722	12	18	survey	survey	NOUN
fcis-1722	12	19	,	,	PUNCT
fcis-1722	12	20	molecular	molecular	ADJ
fcis-1722	12	21	biology	biology	NOUN
fcis-1722	12	22	scanning	scan	VERB
fcis-1722	12	23	imaging	imaging	NOUN
fcis-1722	12	24	,	,	PUNCT
fcis-1722	12	25	aerospace	aerospace	NOUN
fcis-1722	12	26	and	and	CCONJ
fcis-1722	12	27	other	other	ADJ
fcis-1722	12	28	fields	field	NOUN
fcis-1722	12	29	.	.	PUNCT
fcis-1722	13	1	today	today	NOUN
fcis-1722	13	2	's	's	PART
fcis-1722	13	3	volume	volume	NOUN
fcis-1722	13	4	rendering	rendering	NOUN
fcis-1722	13	5	research	research	NOUN
fcis-1722	13	6	field	field	NOUN
fcis-1722	13	7	mainly	mainly	ADV
fcis-1722	13	8	focuses	focus	VERB
fcis-1722	13	9	on	on	ADP
fcis-1722	13	10	how	how	SCONJ
fcis-1722	13	11	to	to	PART
fcis-1722	13	12	improve	improve	VERB
fcis-1722	13	13	the	the	DET
fcis-1722	13	14	quality	quality	NOUN
fcis-1722	13	15	of	of	ADP
fcis-1722	13	16	the	the	DET
fcis-1722	13	17	rendered	render	VERB
fcis-1722	13	18	image	image	NOUN
fcis-1722	13	19	and	and	CCONJ
fcis-1722	13	20	how	how	SCONJ
fcis-1722	13	21	to	to	PART
fcis-1722	13	22	reduce	reduce	VERB
fcis-1722	13	23	the	the	DET
fcis-1722	13	24	rendering	rendering	NOUN
fcis-1722	13	25	time	time	NOUN
fcis-1722	13	26	of	of	ADP
fcis-1722	13	27	the	the	DET
fcis-1722	13	28	algorithm	algorithm	NOUN
fcis-1722	13	29	.	.	PUNCT
fcis-1722	14	1	usually	usually	ADV
fcis-1722	14	2	,	,	PUNCT
fcis-1722	14	3	the	the	DET
fcis-1722	14	4	rendering	render	VERB
fcis-1722	14	5	quality	quality	NOUN
fcis-1722	14	6	is	be	AUX
fcis-1722	14	7	positively	positively	ADV
fcis-1722	14	8	correlated	correlate	VERB
fcis-1722	14	9	with	with	ADP
fcis-1722	14	10	the	the	DET
fcis-1722	14	11	rendering	rendering	NOUN
fcis-1722	14	12	time	time	NOUN
fcis-1722	14	13	.	.	PUNCT
fcis-1722	15	1	how	how	SCONJ
fcis-1722	15	2	to	to	PART
fcis-1722	15	3	reduce	reduce	VERB
fcis-1722	15	4	the	the	DET
fcis-1722	15	5	algorithm	algorithm	NOUN
fcis-1722	15	6	rendering	rendering	NOUN
fcis-1722	15	7	time	time	NOUN
fcis-1722	15	8	as	as	ADV
fcis-1722	15	9	much	much	ADV
fcis-1722	15	10	as	as	ADP
fcis-1722	15	11	possible	possible	ADJ
fcis-1722	15	12	on	on	ADP
fcis-1722	15	13	the	the	DET
fcis-1722	15	14	basis	basis	NOUN
fcis-1722	15	15	of	of	ADP
fcis-1722	15	16	ensuring	ensure	VERB
fcis-1722	15	17	the	the	DET
fcis-1722	15	18	image	image	NOUN
fcis-1722	15	19	quality	quality	NOUN
fcis-1722	15	20	is	be	AUX
fcis-1722	15	21	one	one	NUM
fcis-1722	15	22	of	of	ADP
fcis-1722	15	23	the	the	DET
fcis-1722	15	24	hotspots	hotspot	NOUN
fcis-1722	15	25	in	in	ADP
fcis-1722	15	26	the	the	DET
fcis-1722	15	27	current	current	ADJ
fcis-1722	15	28	volume	volume	NOUN
fcis-1722	15	29	rendering	rendering	NOUN
fcis-1722	15	30	technology	technology	NOUN
fcis-1722	15	31	research	research	NOUN
fcis-1722	15	32	.	.	PUNCT
fcis-1722	16	1	among	among	ADP
fcis-1722	16	2	many	many	ADJ
fcis-1722	16	3	volume	volume	NOUN
fcis-1722	16	4	rendering	rendering	NOUN
fcis-1722	16	5	algorithms	algorithm	NOUN
fcis-1722	16	6	,	,	PUNCT
fcis-1722	16	7	the	the	DET
fcis-1722	16	8	ray	ray	NOUN
fcis-1722	16	9	casting	cast	VERB
fcis-1722	16	10	algorithm	algorithm	NOUN
fcis-1722	16	11	calculates	calculate	VERB
fcis-1722	16	12	the	the	DET
fcis-1722	16	13	highest	high	ADJ
fcis-1722	16	14	image	image	NOUN
fcis-1722	16	15	quality	quality	NOUN
fcis-1722	16	16	,	,	PUNCT
fcis-1722	16	17	but	but	CCONJ
fcis-1722	16	18	its	its	PRON
fcis-1722	16	19	algorithm	algorithm	NOUN
fcis-1722	16	20	complexity	complexity	NOUN
fcis-1722	16	21	is	be	AUX
fcis-1722	16	22	higher	high	ADJ
fcis-1722	16	23	than	than	ADP
fcis-1722	16	24	other	other	ADJ
fcis-1722	16	25	volume	volume	NOUN
fcis-1722	16	26	rendering	rendering	NOUN
fcis-1722	16	27	algorithms	algorithm	NOUN
fcis-1722	16	28	,	,	PUNCT
fcis-1722	16	29	and	and	CCONJ
fcis-1722	16	30	the	the	DET
fcis-1722	16	31	rendering	rendering	NOUN
fcis-1722	16	32	time	time	NOUN
fcis-1722	16	33	is	be	AUX
fcis-1722	16	34	longer	long	ADJ
fcis-1722	16	35	.	.	PUNCT
fcis-1722	17	1	in	in	ADP
fcis-1722	17	2	order	order	NOUN
fcis-1722	17	3	to	to	PART
fcis-1722	17	4	improve	improve	VERB
fcis-1722	17	5	the	the	DET
fcis-1722	17	6	rendering	rendering	NOUN
fcis-1722	17	7	speed	speed	NOUN
fcis-1722	17	8	of	of	ADP
fcis-1722	17	9	visualization	visualization	NOUN
fcis-1722	17	10	,	,	PUNCT
fcis-1722	17	11	many	many	ADJ
fcis-1722	17	12	volume	volume	NOUN
fcis-1722	17	13	rendering	rendering	NOUN
fcis-1722	17	14	acceleration	acceleration	NOUN
fcis-1722	17	15	algorithms	algorithm	NOUN
fcis-1722	17	16	have	have	AUX
fcis-1722	17	17	been	be	AUX
fcis-1722	17	18	proposed	propose	VERB
fcis-1722	17	19	.	.	PUNCT
fcis-1722	18	1	there	there	PRON
fcis-1722	18	2	are	be	VERB
fcis-1722	18	3	two	two	NUM
fcis-1722	18	4	commonly	commonly	ADV
fcis-1722	18	5	used	use	VERB
fcis-1722	18	6	methods	method	NOUN
fcis-1722	18	7	based	base	VERB
fcis-1722	18	8	on	on	ADP
fcis-1722	18	9	software	software	NOUN
fcis-1722	18	10	acceleration	acceleration	NOUN
fcis-1722	18	11	:	:	PUNCT
fcis-1722	18	12	acceleration	acceleration	NOUN
fcis-1722	18	13	through	through	ADP
fcis-1722	18	14	function	function	NOUN
fcis-1722	18	15	optimization	optimization	NOUN
fcis-1722	18	16	,	,	PUNCT
fcis-1722	18	17	such	such	ADJ
fcis-1722	18	18	as	as	ADP
fcis-1722	18	19	multi	multi	NOUN
fcis-1722	18	20	-	-	NOUN
fcis-1722	18	21	resolution	resolution	NOUN
fcis-1722	18	22	based	base	VERB
fcis-1722	18	23	on	on	ADP
fcis-1722	18	24	wavelet	wavelet	NOUN
fcis-1722	18	25	transform	transform	NOUN
fcis-1722	18	26	[	[	X
fcis-1722	18	27	2	2	NUM
fcis-1722	18	28	]	]	PUNCT
fcis-1722	18	29	,	,	PUNCT
fcis-1722	18	30	based	base	VERB
fcis-1722	18	31	on	on	ADP
fcis-1722	18	32	early	early	ADJ
fcis-1722	18	33	opacity	opacity	NOUN
fcis-1722	18	34	cutoff	cutoff	NOUN
fcis-1722	18	35	[	[	X
fcis-1722	18	36	3	3	NUM
fcis-1722	18	37	]	]	PUNCT
fcis-1722	18	38	,	,	PUNCT
fcis-1722	18	39	based	base	VERB
fcis-1722	18	40	on	on	ADP
fcis-1722	18	41	parallel	parallel	ADJ
fcis-1722	18	42	and	and	CCONJ
fcis-1722	18	43	distributed	distribute	VERB
fcis-1722	18	44	volume	volume	NOUN
fcis-1722	18	45	rendering	rendering	NOUN
fcis-1722	18	46	[	[	X
fcis-1722	18	47	4	4	NUM
fcis-1722	18	48	]	]	PUNCT
fcis-1722	18	49	,	,	PUNCT
fcis-1722	18	50	interactive	interactive	ADJ
fcis-1722	18	51	classification	classification	NOUN
fcis-1722	18	52	based	base	VERB
fcis-1722	18	53	on	on	ADP
fcis-1722	18	54	density	density	NOUN
fcis-1722	18	55	-	-	PUNCT
fcis-1722	18	56	distance	distance	NOUN
fcis-1722	18	57	map	map	NOUN
fcis-1722	19	1	[	[	X
fcis-1722	19	2	5	5	NUM
fcis-1722	19	3	]	]	PUNCT
fcis-1722	19	4	,	,	PUNCT
fcis-1722	19	5	combined	combine	VERB
fcis-1722	19	6	with	with	ADP
fcis-1722	19	7	graphics	graphic	NOUN
fcis-1722	19	8	hardware	hardware	NOUN
fcis-1722	19	9	acceleration	acceleration	NOUN
fcis-1722	19	10	and	and	CCONJ
fcis-1722	19	11	other	other	ADJ
fcis-1722	19	12	algorithms	algorithm	NOUN
fcis-1722	19	13	,	,	PUNCT
fcis-1722	19	14	but	but	CCONJ
fcis-1722	19	15	these	these	DET
fcis-1722	19	16	methods	method	NOUN
fcis-1722	19	17	do	do	AUX
fcis-1722	19	18	not	not	PART
fcis-1722	19	19	filter	filter	VERB
fcis-1722	19	20	the	the	DET
fcis-1722	19	21	data	datum	NOUN
fcis-1722	19	22	,	,	PUNCT
fcis-1722	19	23	and	and	CCONJ
fcis-1722	19	24	the	the	DET
fcis-1722	19	25	acceleration	acceleration	NOUN
fcis-1722	19	26	is	be	AUX
fcis-1722	19	27	not	not	PART
fcis-1722	19	28	complete	complete	ADJ
fcis-1722	19	29	;	;	PUNCT
fcis-1722	19	30	by	by	ADP
fcis-1722	19	31	processing	process	VERB
fcis-1722	19	32	the	the	DET
fcis-1722	19	33	data	datum	NOUN
fcis-1722	19	34	to	to	PART
fcis-1722	19	35	improve	improve	VERB
fcis-1722	19	36	the	the	DET
fcis-1722	19	37	drawing	drawing	NOUN
fcis-1722	19	38	speed	speed	NOUN
fcis-1722	19	39	,	,	PUNCT
fcis-1722	19	40	such	such	ADJ
fcis-1722	19	41	as	as	ADP
fcis-1722	19	42	based	base	VERB
fcis-1722	19	43	on	on	ADP
fcis-1722	19	44	the	the	DET
fcis-1722	19	45	adjacent	adjacent	ADJ
fcis-1722	19	46	layers	layer	NOUN
fcis-1722	19	47	similarity	similarity	NOUN
fcis-1722	20	1	[	[	X
fcis-1722	20	2	6	6	NUM
fcis-1722	20	3	]	]	PUNCT
fcis-1722	20	4	,	,	PUNCT
fcis-1722	20	5	based	base	VERB
fcis-1722	20	6	on	on	ADP
fcis-1722	20	7	bounding	bound	VERB
fcis-1722	20	8	box	box	NOUN
fcis-1722	20	9	space	space	NOUN
fcis-1722	20	10	[	[	X
fcis-1722	20	11	7	7	NUM
fcis-1722	20	12	]	]	PUNCT
fcis-1722	20	13	,	,	PUNCT
fcis-1722	20	14	based	base	VERB
fcis-1722	20	15	on	on	ADP
fcis-1722	20	16	octree	octree	NOUN
fcis-1722	20	17	[	[	X
fcis-1722	20	18	8	8	NUM
fcis-1722	20	19	]	]	PUNCT
fcis-1722	20	20	,	,	PUNCT
fcis-1722	20	21	k	k	PROPN
fcis-1722	20	22	-	-	PROPN
fcis-1722	20	23	d	d	ADJ
fcis-1722	20	24	tree	tree	NOUN
fcis-1722	21	1	[	[	X
fcis-1722	21	2	9	9	NUM
fcis-1722	21	3	]	]	PUNCT
fcis-1722	21	4	and	and	CCONJ
fcis-1722	21	5	other	other	ADJ
fcis-1722	21	6	data	datum	NOUN
fcis-1722	21	7	structure	structure	NOUN
fcis-1722	21	8	methods	method	NOUN
fcis-1722	21	9	,	,	PUNCT
fcis-1722	21	10	but	but	CCONJ
fcis-1722	21	11	these	these	DET
fcis-1722	21	12	methods	method	NOUN
fcis-1722	21	13	do	do	AUX
fcis-1722	21	14	not	not	PART
fcis-1722	21	15	accelerate	accelerate	VERB
fcis-1722	21	16	the	the	DET
fcis-1722	21	17	algorithm	algorithm	NOUN
fcis-1722	21	18	process	process	NOUN
fcis-1722	21	19	,	,	PUNCT
fcis-1722	21	20	and	and	CCONJ
fcis-1722	21	21	there	there	PRON
fcis-1722	21	22	is	be	VERB
fcis-1722	21	23	still	still	ADV
fcis-1722	21	24	a	a	DET
fcis-1722	21	25	lot	lot	NOUN
fcis-1722	21	26	of	of	ADP
fcis-1722	21	27	acceleration	acceleration	NOUN
fcis-1722	21	28	time	time	NOUN
fcis-1722	21	29	.	.	PUNCT
fcis-1722	22	1	room	room	NOUN
fcis-1722	22	2	for	for	ADP
fcis-1722	22	3	improvement	improvement	NOUN
fcis-1722	22	4	.	.	PUNCT
fcis-1722	23	1	on	on	ADP
fcis-1722	23	2	the	the	DET
fcis-1722	23	3	basis	basis	NOUN
fcis-1722	23	4	of	of	ADP
fcis-1722	23	5	related	related	ADJ
fcis-1722	23	6	research	research	NOUN
fcis-1722	23	7	,	,	PUNCT
fcis-1722	23	8	this	this	DET
fcis-1722	23	9	paper	paper	NOUN
fcis-1722	23	10	optimizes	optimize	VERB
fcis-1722	23	11	function	function	NOUN
fcis-1722	23	12	changes	change	NOUN
fcis-1722	23	13	and	and	CCONJ
fcis-1722	23	14	data	datum	NOUN
fcis-1722	23	15	processing	processing	NOUN
fcis-1722	23	16	at	at	ADP
fcis-1722	23	17	the	the	DET
fcis-1722	23	18	same	same	ADJ
fcis-1722	23	19	time	time	NOUN
fcis-1722	23	20	.	.	PUNCT
fcis-1722	24	1	by	by	ADP
fcis-1722	24	2	researching	research	VERB
fcis-1722	24	3	the	the	DET
fcis-1722	24	4	use	use	NOUN
fcis-1722	24	5	of	of	ADP
fcis-1722	24	6	algorithms	algorithm	NOUN
fcis-1722	24	7	to	to	PART
fcis-1722	24	8	eliminate	eliminate	VERB
fcis-1722	24	9	invalid	invalid	ADJ
fcis-1722	24	10	data	datum	NOUN
fcis-1722	24	11	and	and	CCONJ
fcis-1722	24	12	empty	empty	ADJ
fcis-1722	24	13	voxel	voxel	NOUN
fcis-1722	24	14	jumps	jump	VERB
fcis-1722	24	15	when	when	SCONJ
fcis-1722	24	16	performing	perform	VERB
fcis-1722	24	17	volume	volume	NOUN
fcis-1722	24	18	rendering	rendering	NOUN
fcis-1722	24	19	,	,	PUNCT
fcis-1722	24	20	the	the	DET
fcis-1722	24	21	rendering	rendering	NOUN
fcis-1722	24	22	time	time	NOUN
fcis-1722	24	23	is	be	AUX
fcis-1722	24	24	accelerated	accelerate	VERB
fcis-1722	24	25	,	,	PUNCT
fcis-1722	24	26	and	and	CCONJ
fcis-1722	24	27	the	the	DET
fcis-1722	24	28	image	image	NOUN
fcis-1722	24	29	quality	quality	NOUN
fcis-1722	24	30	is	be	AUX
fcis-1722	24	31	guaranteed	guarantee	VERB
fcis-1722	24	32	,	,	PUNCT
fcis-1722	24	33	while	while	SCONJ
fcis-1722	24	34	significantly	significantly	ADV
fcis-1722	24	35	improving	improve	VERB
fcis-1722	24	36	algorithm	algorithm	NOUN
fcis-1722	24	37	acceleration	acceleration	NOUN
fcis-1722	24	38	effect	effect	NOUN
fcis-1722	24	39	.	.	PUNCT
fcis-1722	25	1	2	2	X
fcis-1722	25	2	.	.	X
fcis-1722	25	3	ray	ray	NOUN
fcis-1722	25	4	casting	cast	VERB
fcis-1722	25	5	algorithm	algorithm	NOUN
fcis-1722	25	6	ray	ray	NOUN
fcis-1722	25	7	casting	cast	VERB
fcis-1722	25	8	[	[	X
fcis-1722	25	9	10	10	NUM
fcis-1722	25	10	]	]	PUNCT
fcis-1722	25	11	is	be	AUX
fcis-1722	25	12	a	a	DET
fcis-1722	25	13	direct	direct	ADJ
fcis-1722	25	14	volume	volume	NOUN
fcis-1722	25	15	rendering	rendering	NOUN
fcis-1722	25	16	technique	technique	NOUN
fcis-1722	25	17	based	base	VERB
fcis-1722	25	18	on	on	ADP
fcis-1722	25	19	image	image	NOUN
fcis-1722	25	20	sequences	sequence	NOUN
fcis-1722	25	21	.	.	PUNCT
fcis-1722	26	1	the	the	DET
fcis-1722	26	2	calculation	calculation	NOUN
fcis-1722	26	3	of	of	ADP
fcis-1722	26	4	the	the	DET
fcis-1722	26	5	ray	ray	NOUN
fcis-1722	26	6	casting	cast	VERB
fcis-1722	26	7	algorithm	algorithm	NOUN
fcis-1722	26	8	does	do	AUX
fcis-1722	26	9	not	not	PART
fcis-1722	26	10	stop	stop	VERB
fcis-1722	26	11	at	at	ADP
fcis-1722	26	12	the	the	DET
fcis-1722	26	13	surface	surface	NOUN
fcis-1722	26	14	of	of	ADP
fcis-1722	26	15	the	the	DET
fcis-1722	26	16	object	object	NOUN
fcis-1722	26	17	,	,	PUNCT
fcis-1722	26	18	but	but	CCONJ
fcis-1722	26	19	samples	sample	VERB
fcis-1722	26	20	the	the	DET
fcis-1722	26	21	interior	interior	NOUN
fcis-1722	26	22	of	of	ADP
fcis-1722	26	23	the	the	DET
fcis-1722	26	24	object	object	NOUN
fcis-1722	26	25	along	along	ADP
fcis-1722	26	26	the	the	DET
fcis-1722	26	27	ray	ray	NOUN
fcis-1722	26	28	,	,	PUNCT
fcis-1722	26	29	and	and	CCONJ
fcis-1722	26	30	does	do	AUX
fcis-1722	26	31	not	not	PART
fcis-1722	26	32	generate	generate	VERB
fcis-1722	26	33	secondary	secondary	ADJ
fcis-1722	26	34	rays	ray	NOUN
fcis-1722	26	35	.	.	PUNCT
fcis-1722	27	1	it	it	PRON
fcis-1722	27	2	draws	draw	VERB
fcis-1722	27	3	volume	volume	NOUN
fcis-1722	27	4	data	datum	NOUN
fcis-1722	27	5	in	in	ADP
fcis-1722	27	6	a	a	DET
fcis-1722	27	7	3d	3d	NUM
fcis-1722	27	8	scalar	scalar	ADJ
fcis-1722	27	9	data	datum	NOUN
fcis-1722	27	10	field	field	NOUN
fcis-1722	27	11	into	into	ADP
fcis-1722	27	12	a	a	DET
fcis-1722	27	13	2d	2d	NUM
fcis-1722	27	14	image	image	NOUN
fcis-1722	27	15	through	through	ADP
fcis-1722	27	16	scientific	scientific	ADJ
fcis-1722	27	17	computing	computing	NOUN
fcis-1722	27	18	by	by	ADP
fcis-1722	27	19	tracing	trace	VERB
fcis-1722	27	20	rays	ray	NOUN
fcis-1722	27	21	from	from	ADP
fcis-1722	27	22	the	the	DET
fcis-1722	27	23	viewpoint	viewpoint	NOUN
fcis-1722	27	24	to	to	ADP
fcis-1722	27	25	the	the	DET
fcis-1722	27	26	object	object	NOUN
fcis-1722	27	27	.	.	PUNCT
fcis-1722	28	1	the	the	DET
fcis-1722	28	2	basic	basic	ADJ
fcis-1722	28	3	steps	step	NOUN
fcis-1722	28	4	are	be	AUX
fcis-1722	28	5	to	to	PART
fcis-1722	28	6	start	start	VERB
fcis-1722	28	7	from	from	ADP
fcis-1722	28	8	each	each	DET
fcis-1722	28	9	pixel	pixel	NOUN
fcis-1722	28	10	on	on	ADP
fcis-1722	28	11	the	the	DET
fcis-1722	28	12	screen	screen	NOUN
fcis-1722	28	13	and	and	CCONJ
fcis-1722	28	14	emit	emit	VERB
fcis-1722	28	15	a	a	DET
fcis-1722	28	16	ray	ray	NOUN
fcis-1722	28	17	along	along	ADP
fcis-1722	28	18	the	the	DET
fcis-1722	28	19	line	line	NOUN
fcis-1722	28	20	of	of	ADP
fcis-1722	28	21	sight	sight	NOUN
fcis-1722	28	22	.	.	PUNCT
fcis-1722	29	1	when	when	SCONJ
fcis-1722	29	2	the	the	DET
fcis-1722	29	3	ray	ray	NOUN
fcis-1722	29	4	passes	pass	VERB
fcis-1722	29	5	through	through	ADP
fcis-1722	29	6	the	the	DET
fcis-1722	29	7	volume	volume	NOUN
fcis-1722	29	8	data	datum	NOUN
fcis-1722	29	9	,	,	PUNCT
fcis-1722	29	10	it	it	PRON
fcis-1722	29	11	is	be	AUX
fcis-1722	29	12	sampled	sample	VERB
fcis-1722	29	13	equidistantly	equidistantly	ADV
fcis-1722	29	14	along	along	ADP
fcis-1722	29	15	the	the	DET
fcis-1722	29	16	ray	ray	NOUN
fcis-1722	29	17	direction	direction	NOUN
fcis-1722	29	18	,	,	PUNCT
fcis-1722	29	19	and	and	CCONJ
fcis-1722	29	20	the	the	DET
fcis-1722	29	21	optical	optical	ADJ
fcis-1722	29	22	properties	property	NOUN
fcis-1722	29	23	of	of	ADP
fcis-1722	29	24	the	the	DET
fcis-1722	29	25	sampling	sampling	NOUN
fcis-1722	29	26	point	point	NOUN
fcis-1722	29	27	are	be	AUX
fcis-1722	29	28	calculated	calculate	VERB
fcis-1722	29	29	by	by	ADP
fcis-1722	29	30	interpolation	interpolation	NOUN
fcis-1722	29	31	(	(	PUNCT
fcis-1722	29	32	such	such	ADJ
fcis-1722	29	33	as	as	ADP
fcis-1722	29	34	color	color	NOUN
fcis-1722	29	35	value	value	NOUN
fcis-1722	29	36	and	and	CCONJ
fcis-1722	29	37	opacity	opacity	NOUN
fcis-1722	29	38	)	)	PUNCT
fcis-1722	29	39	;	;	PUNCT
fcis-1722	29	40	then	then	ADV
fcis-1722	29	41	according	accord	VERB
fcis-1722	29	42	to	to	ADP
fcis-1722	29	43	the	the	DET
fcis-1722	29	44	order	order	NOUN
fcis-1722	29	45	from	from	ADP
fcis-1722	29	46	front	front	NOUN
fcis-1722	29	47	to	to	ADP
fcis-1722	29	48	back	back	NOUN
fcis-1722	29	49	(	(	PUNCT
fcis-1722	29	50	front	front	NOUN
fcis-1722	29	51	-	-	PUNCT
fcis-1722	29	52	to	to	ADP
fcis-1722	29	53	-	-	PUNCT
fcis-1722	29	54	back	back	NOUN
fcis-1722	29	55	)	)	PUNCT
fcis-1722	29	56	or	or	CCONJ
fcis-1722	29	57	from	from	ADP
fcis-1722	29	58	back	back	ADV
fcis-1722	29	59	to	to	ADP
fcis-1722	29	60	front	front	NOUN
fcis-1722	29	61	(	(	PUNCT
fcis-1722	29	62	back	back	NOUN
fcis-1722	29	63	-	-	PUNCT
fcis-1722	29	64	to	to	ADP
fcis-1722	29	65	-	-	PUNCT
fcis-1722	29	66	front	front	NOUN
fcis-1722	29	67	)	)	PUNCT
fcis-1722	29	68	,	,	PUNCT
fcis-1722	29	69	the	the	DET
fcis-1722	29	70	sampling	sample	VERB
fcis-1722	29	71	points	point	NOUN
fcis-1722	29	72	on	on	ADP
fcis-1722	29	73	the	the	DET
fcis-1722	29	74	ray	ray	NOUN
fcis-1722	29	75	are	be	AUX
fcis-1722	29	76	synthesized	synthesize	VERB
fcis-1722	29	77	,	,	PUNCT
fcis-1722	29	78	and	and	CCONJ
fcis-1722	29	79	the	the	DET
fcis-1722	29	80	corresponding	corresponding	ADJ
fcis-1722	29	81	value	value	NOUN
fcis-1722	29	82	of	of	ADP
fcis-1722	29	83	this	this	DET
fcis-1722	29	84	ray	ray	NOUN
fcis-1722	29	85	is	be	AUX
fcis-1722	29	86	calculated	calculate	VERB
fcis-1722	29	87	.	.	PUNCT
fcis-1722	30	1	the	the	DET
fcis-1722	30	2	color	color	NOUN
fcis-1722	30	3	value	value	NOUN
fcis-1722	30	4	of	of	ADP
fcis-1722	30	5	the	the	DET
fcis-1722	30	6	pixel	pixel	NOUN
fcis-1722	30	7	on	on	ADP
fcis-1722	30	8	the	the	DET
fcis-1722	30	9	screen	screen	NOUN
fcis-1722	30	10	.	.	PUNCT
fcis-1722	31	1	the	the	DET
fcis-1722	31	2	traditional	traditional	ADJ
fcis-1722	31	3	ray	ray	NOUN
fcis-1722	31	4	casting	cast	VERB
fcis-1722	31	5	algorithm	algorithm	NOUN
fcis-1722	31	6	does	do	AUX
fcis-1722	31	7	not	not	PART
fcis-1722	31	8	filter	filter	VERB
fcis-1722	31	9	the	the	DET
fcis-1722	31	10	initial	initial	ADJ
fcis-1722	31	11	data	datum	NOUN
fcis-1722	31	12	,	,	PUNCT
fcis-1722	31	13	but	but	CCONJ
fcis-1722	31	14	draws	draw	VERB
fcis-1722	31	15	the	the	DET
fcis-1722	31	16	sampling	sampling	NOUN
fcis-1722	31	17	points	point	NOUN
fcis-1722	31	18	one	one	NUM
fcis-1722	31	19	by	by	ADP
fcis-1722	31	20	one	one	NUM
fcis-1722	31	21	layer	layer	NOUN
fcis-1722	31	22	by	by	ADP
fcis-1722	31	23	layer	layer	NOUN
fcis-1722	31	24	,	,	PUNCT
fcis-1722	31	25	which	which	PRON
fcis-1722	31	26	makes	make	VERB
fcis-1722	31	27	the	the	DET
fcis-1722	31	28	process	process	NOUN
fcis-1722	31	29	of	of	ADP
fcis-1722	31	30	calculating	calculate	VERB
fcis-1722	31	31	the	the	DET
fcis-1722	31	32	ratio	ratio	NOUN
fcis-1722	31	33	of	of	ADP
fcis-1722	31	34	each	each	DET
fcis-1722	31	35	voxel	voxel	PROPN
fcis-1722	31	36	to	to	ADP
fcis-1722	31	37	the	the	DET
fcis-1722	31	38	screen	screen	NOUN
fcis-1722	31	39	pixel	pixel	NOUN
fcis-1722	31	40	and	and	CCONJ
fcis-1722	31	41	so	so	ADV
fcis-1722	31	42	on	on	ADP
fcis-1722	31	43	consumes	consume	NOUN
fcis-1722	31	44	computing	compute	VERB
fcis-1722	31	45	resources	resource	NOUN
fcis-1722	31	46	and	and	CCONJ
fcis-1722	31	47	time	time	NOUN
fcis-1722	31	48	.	.	PUNCT
fcis-1722	32	1	in	in	ADP
fcis-1722	32	2	this	this	DET
fcis-1722	32	3	regard	regard	NOUN
fcis-1722	32	4	,	,	PUNCT
fcis-1722	32	5	the	the	DET
fcis-1722	32	6	acceleration	acceleration	NOUN
fcis-1722	32	7	design	design	NOUN
fcis-1722	32	8	of	of	ADP
fcis-1722	32	9	ray	ray	NOUN
fcis-1722	32	10	casting	cast	VERB
fcis-1722	32	11	algorithm	algorithm	NOUN
fcis-1722	32	12	is	be	AUX
fcis-1722	32	13	discussed	discuss	VERB
fcis-1722	32	14	from	from	ADP
fcis-1722	32	15	three	three	NUM
fcis-1722	32	16	aspects	aspect	NOUN
fcis-1722	32	17	:	:	PUNCT
fcis-1722	32	18	sampling	sample	VERB
fcis-1722	32	19	point	point	NOUN
fcis-1722	32	20	optimization	optimization	NOUN
fcis-1722	32	21	,	,	PUNCT
fcis-1722	32	22	empty	empty	ADJ
fcis-1722	32	23	voxel	voxel	PROPN
fcis-1722	32	24	jumping	jumping	NOUN
fcis-1722	32	25	method	method	NOUN
fcis-1722	32	26	and	and	CCONJ
fcis-1722	32	27	the	the	DET
fcis-1722	32	28	combination	combination	NOUN
fcis-1722	32	29	of	of	ADP
fcis-1722	32	30	the	the	DET
fcis-1722	32	31	two	two	NUM
fcis-1722	32	32	improved	improved	ADJ
fcis-1722	32	33	methods	method	NOUN
fcis-1722	32	34	.	.	PUNCT
fcis-1722	33	1	3	3	X
fcis-1722	33	2	.	.	X
fcis-1722	33	3	empty	empty	ADJ
fcis-1722	33	4	voxel	voxel	PROPN
fcis-1722	33	5	skipping	skip	VERB
fcis-1722	33	6	the	the	DET
fcis-1722	33	7	purpose	purpose	NOUN
fcis-1722	33	8	of	of	ADP
fcis-1722	33	9	empty	empty	ADJ
fcis-1722	33	10	voxel	voxel	NOUN
fcis-1722	33	11	skipping	skip	VERB
fcis-1722	33	12	is	be	AUX
fcis-1722	33	13	to	to	PART
fcis-1722	33	14	exclude	exclude	VERB
fcis-1722	33	15	from	from	ADP
fcis-1722	33	16	51	51	NUM
fcis-1722	33	17	volume	volume	NOUN
fcis-1722	33	18	data	datum	NOUN
fcis-1722	33	19	sampling	sample	VERB
fcis-1722	33	20	the	the	DET
fcis-1722	33	21	regions	region	NOUN
fcis-1722	33	22	in	in	ADP
fcis-1722	33	23	which	which	PRON
fcis-1722	33	24	it	it	PRON
fcis-1722	33	25	does	do	AUX
fcis-1722	33	26	not	not	PART
fcis-1722	33	27	contribute	contribute	VERB
fcis-1722	33	28	to	to	ADP
fcis-1722	33	29	the	the	DET
fcis-1722	33	30	output	output	NOUN
fcis-1722	33	31	image	image	NOUN
fcis-1722	33	32	.	.	PUNCT
fcis-1722	34	1	a	a	DET
fcis-1722	34	2	state	state	NOUN
fcis-1722	34	3	-	-	PUNCT
fcis-1722	34	4	of	of	ADP
fcis-1722	34	5	-	-	PUNCT
fcis-1722	34	6	the	the	DET
fcis-1722	34	7	-	-	PUNCT
fcis-1722	34	8	art	art	NOUN
fcis-1722	34	9	imagesequential	imagesequential	ADJ
fcis-1722	34	10	volume	volume	NOUN
fcis-1722	34	11	rendering	rendering	NOUN
fcis-1722	34	12	method	method	NOUN
fcis-1722	34	13	,	,	PUNCT
fcis-1722	34	14	gpu	gpu	NOUN
fcis-1722	34	15	-	-	PUNCT
fcis-1722	34	16	based	base	VERB
fcis-1722	34	17	octreeaccelerated	octreeaccelerate	VERB
fcis-1722	34	18	ray	ray	NOUN
fcis-1722	34	19	casting	cast	VERB
fcis-1722	34	20	[	[	X
fcis-1722	34	21	11	11	NUM
fcis-1722	34	22	]	]	PUNCT
fcis-1722	34	23	,	,	PUNCT
fcis-1722	34	24	traces	trace	VERB
fcis-1722	34	25	each	each	DET
fcis-1722	34	26	ray	ray	NOUN
fcis-1722	34	27	from	from	ADP
fcis-1722	34	28	one	one	NUM
fcis-1722	34	29	tree	tree	NOUN
fcis-1722	34	30	node	node	NOUN
fcis-1722	34	31	to	to	ADP
fcis-1722	34	32	another	another	PRON
fcis-1722	34	33	.	.	PUNCT
fcis-1722	35	1	nodes	node	NOUN
fcis-1722	35	2	marked	mark	VERB
fcis-1722	35	3	as	as	ADP
fcis-1722	35	4	empty	empty	ADJ
fcis-1722	35	5	can	can	AUX
fcis-1722	35	6	simply	simply	ADV
fcis-1722	35	7	be	be	AUX
fcis-1722	35	8	skipped	skip	VERB
fcis-1722	35	9	,	,	PUNCT
fcis-1722	35	10	and	and	CCONJ
fcis-1722	35	11	each	each	DET
fcis-1722	35	12	ray	ray	NOUN
fcis-1722	35	13	is	be	AUX
fcis-1722	35	14	computed	compute	VERB
fcis-1722	35	15	independently	independently	ADV
fcis-1722	35	16	,	,	PUNCT
fcis-1722	35	17	without	without	ADP
fcis-1722	35	18	exploiting	exploit	VERB
fcis-1722	35	19	consistency	consistency	NOUN
fcis-1722	35	20	between	between	ADP
fcis-1722	35	21	rays	ray	NOUN
fcis-1722	35	22	or	or	CCONJ
fcis-1722	35	23	between	between	ADP
fcis-1722	35	24	successive	successive	ADJ
fcis-1722	35	25	rendered	render	VERB
fcis-1722	35	26	frames	frame	NOUN
fcis-1722	35	27	.	.	PUNCT
fcis-1722	36	1	more	more	ADV
fcis-1722	36	2	importantly	importantly	ADV
fcis-1722	36	3	,	,	PUNCT
fcis-1722	36	4	for	for	ADP
fcis-1722	36	5	sparsely	sparsely	ADV
fcis-1722	36	6	structured	structured	ADJ
fcis-1722	36	7	volume	volume	NOUN
fcis-1722	36	8	data	datum	NOUN
fcis-1722	36	9	,	,	PUNCT
fcis-1722	36	10	the	the	DET
fcis-1722	36	11	octree	octree	NOUN
fcis-1722	36	12	subdivides	subdivide	VERB
fcis-1722	36	13	the	the	DET
fcis-1722	36	14	space	space	NOUN
fcis-1722	36	15	very	very	ADV
fcis-1722	36	16	finely	finely	ADV
fcis-1722	36	17	,	,	PUNCT
fcis-1722	36	18	and	and	CCONJ
fcis-1722	36	19	many	many	ADJ
fcis-1722	36	20	spatially	spatially	ADV
fcis-1722	36	21	adjacent	adjacent	ADJ
fcis-1722	36	22	nodes	node	NOUN
fcis-1722	36	23	will	will	AUX
fcis-1722	36	24	have	have	VERB
fcis-1722	36	25	the	the	DET
fcis-1722	36	26	same	same	ADJ
fcis-1722	36	27	type	type	NOUN
fcis-1722	36	28	(	(	PUNCT
fcis-1722	36	29	empty	empty	ADJ
fcis-1722	36	30	or	or	CCONJ
fcis-1722	36	31	not	not	PART
fcis-1722	36	32	)	)	PUNCT
fcis-1722	36	33	.	.	PUNCT
fcis-1722	37	1	advanced	advanced	ADJ
fcis-1722	37	2	tree	tree	NOUN
fcis-1722	37	3	refinement	refinement	NOUN
fcis-1722	37	4	forces	force	NOUN
fcis-1722	37	5	ray	ray	VERB
fcis-1722	37	6	traversal	traversal	NOUN
fcis-1722	37	7	to	to	PART
fcis-1722	37	8	occur	occur	VERB
fcis-1722	37	9	in	in	ADP
fcis-1722	37	10	unnecessarily	unnecessarily	ADV
fcis-1722	37	11	small	small	ADJ
fcis-1722	37	12	spatial	spatial	ADJ
fcis-1722	37	13	increments	increment	NOUN
fcis-1722	37	14	.	.	PUNCT
fcis-1722	38	1	this	this	DET
fcis-1722	38	2	huge	huge	ADJ
fcis-1722	38	3	overhead	overhead	NOUN
fcis-1722	38	4	makes	make	VERB
fcis-1722	38	5	empty	empty	ADJ
fcis-1722	38	6	voxel	voxel	NOUN
fcis-1722	38	7	skipping	skip	VERB
fcis-1722	38	8	inefficient	inefficient	ADJ
fcis-1722	38	9	and	and	CCONJ
fcis-1722	38	10	significantly	significantly	ADV
fcis-1722	38	11	reduces	reduce	VERB
fcis-1722	38	12	the	the	DET
fcis-1722	38	13	potential	potential	ADJ
fcis-1722	38	14	performance	performance	NOUN
fcis-1722	38	15	improvement	improvement	NOUN
fcis-1722	38	16	.	.	PUNCT
fcis-1722	39	1	spatial	spatial	ADJ
fcis-1722	39	2	segmentation	segmentation	NOUN
fcis-1722	39	3	based	base	VERB
fcis-1722	39	4	on	on	ADP
fcis-1722	39	5	k	k	PROPN
fcis-1722	39	6	-	-	PROPN
fcis-1722	39	7	d	d	ADJ
fcis-1722	39	8	tree	tree	NOUN
fcis-1722	40	1	[	[	X
fcis-1722	40	2	12	12	NUM
fcis-1722	40	3	]	]	PUNCT
fcis-1722	40	4	can	can	AUX
fcis-1722	40	5	better	well	ADV
fcis-1722	40	6	adapt	adapt	VERB
fcis-1722	40	7	to	to	ADP
fcis-1722	40	8	the	the	DET
fcis-1722	40	9	spatial	spatial	ADJ
fcis-1722	40	10	subdivision	subdivision	NOUN
fcis-1722	40	11	of	of	ADP
fcis-1722	40	12	sparse	sparse	ADJ
fcis-1722	40	13	structure	structure	NOUN
fcis-1722	40	14	,	,	PUNCT
fcis-1722	40	15	but	but	CCONJ
fcis-1722	40	16	the	the	DET
fcis-1722	40	17	subdivision	subdivision	NOUN
fcis-1722	40	18	based	base	VERB
fcis-1722	40	19	on	on	ADP
fcis-1722	40	20	k	k	PROPN
fcis-1722	40	21	-	-	PROPN
fcis-1722	40	22	d	d	PROPN
fcis-1722	40	23	tree	tree	NOUN
fcis-1722	40	24	is	be	AUX
fcis-1722	40	25	very	very	ADV
fcis-1722	40	26	dependent	dependent	ADJ
fcis-1722	40	27	on	on	ADP
fcis-1722	40	28	the	the	DET
fcis-1722	40	29	spatial	spatial	ADJ
fcis-1722	40	30	position	position	NOUN
fcis-1722	40	31	of	of	ADP
fcis-1722	40	32	non	non	ADJ
fcis-1722	40	33	-	-	ADJ
fcis-1722	40	34	empty	empty	ADJ
fcis-1722	40	35	voxels	voxel	NOUN
fcis-1722	40	36	.	.	PUNCT
fcis-1722	41	1	if	if	SCONJ
fcis-1722	41	2	the	the	DET
fcis-1722	41	3	dataset	dataset	NOUN
fcis-1722	41	4	of	of	ADP
fcis-1722	41	5	segmented	segment	VERB
fcis-1722	41	6	objects	object	NOUN
fcis-1722	41	7	changes	change	NOUN
fcis-1722	41	8	frequently	frequently	ADV
fcis-1722	41	9	,	,	PUNCT
fcis-1722	41	10	the	the	DET
fcis-1722	41	11	k	k	NOUN
fcis-1722	41	12	-	-	PROPN
fcis-1722	41	13	d	d	PROPN
fcis-1722	41	14	tree	tree	NOUN
fcis-1722	41	15	can	can	AUX
fcis-1722	41	16	not	not	PART
fcis-1722	41	17	change	change	VERB
fcis-1722	41	18	in	in	ADP
fcis-1722	41	19	real	real	ADJ
fcis-1722	41	20	time	time	NOUN
fcis-1722	41	21	according	accord	VERB
fcis-1722	41	22	to	to	ADP
fcis-1722	41	23	new	new	ADJ
fcis-1722	41	24	spatial	spatial	ADJ
fcis-1722	41	25	features	feature	NOUN
fcis-1722	41	26	.	.	PUNCT
fcis-1722	42	1	hierarchical	hierarchical	ADJ
fcis-1722	42	2	bounding	bounding	NOUN
fcis-1722	42	3	box	box	NOUN
fcis-1722	42	4	tree	tree	NOUN
fcis-1722	42	5	(	(	PUNCT
fcis-1722	42	6	bvh	bvh	NOUN
fcis-1722	42	7	)	)	PUNCT
fcis-1722	43	1	[	[	X
fcis-1722	43	2	13	13	NUM
fcis-1722	43	3	]	]	PUNCT
fcis-1722	43	4	can	can	AUX
fcis-1722	43	5	perform	perform	VERB
fcis-1722	43	6	efficient	efficient	ADJ
fcis-1722	43	7	space	space	NOUN
fcis-1722	43	8	segmentation	segmentation	NOUN
fcis-1722	43	9	,	,	PUNCT
fcis-1722	43	10	fully	fully	ADV
fcis-1722	43	11	consider	consider	VERB
fcis-1722	43	12	the	the	DET
fcis-1722	43	13	area	area	NOUN
fcis-1722	43	14	and	and	CCONJ
fcis-1722	43	15	shape	shape	NOUN
fcis-1722	43	16	of	of	ADP
fcis-1722	43	17	the	the	DET
fcis-1722	43	18	volume	volume	NOUN
fcis-1722	43	19	data	datum	NOUN
fcis-1722	43	20	itself	itself	PRON
fcis-1722	43	21	,	,	PUNCT
fcis-1722	43	22	filter	filter	VERB
fcis-1722	43	23	out	out	ADP
fcis-1722	43	24	a	a	DET
fcis-1722	43	25	large	large	ADJ
fcis-1722	43	26	amount	amount	NOUN
fcis-1722	43	27	of	of	ADP
fcis-1722	43	28	unnecessary	unnecessary	ADJ
fcis-1722	43	29	blank	blank	ADJ
fcis-1722	43	30	space	space	NOUN
fcis-1722	43	31	,	,	PUNCT
fcis-1722	43	32	and	and	CCONJ
fcis-1722	43	33	can	can	AUX
fcis-1722	43	34	be	be	AUX
fcis-1722	43	35	dynamically	dynamically	ADV
fcis-1722	43	36	updated	update	VERB
fcis-1722	43	37	.	.	PUNCT
fcis-1722	44	1	4	4	X
fcis-1722	44	2	.	.	X
fcis-1722	44	3	ray	ray	NOUN
fcis-1722	44	4	casting	cast	VERB
fcis-1722	44	5	acceleration	acceleration	NOUN
fcis-1722	44	6	algorithm	algorithm	NOUN
fcis-1722	44	7	4.1	4.1	NUM
fcis-1722	44	8	.	.	PUNCT
fcis-1722	45	1	early	early	ADJ
fcis-1722	45	2	termination	termination	NOUN
fcis-1722	45	3	of	of	ADP
fcis-1722	45	4	light	light	ADJ
fcis-1722	45	5	use	use	VERB
fcis-1722	45	6	an	an	DET
fcis-1722	45	7	early	early	ADJ
fcis-1722	45	8	termination	termination	NOUN
fcis-1722	45	9	condition	condition	NOUN
fcis-1722	45	10	to	to	PART
fcis-1722	45	11	speed	speed	VERB
fcis-1722	45	12	up	up	ADP
fcis-1722	45	13	the	the	DET
fcis-1722	45	14	algorithm	algorithm	NOUN
fcis-1722	45	15	,	,	PUNCT
fcis-1722	45	16	i.e.	i.e.	X
fcis-1722	45	17	stop	stop	VERB
fcis-1722	45	18	the	the	DET
fcis-1722	45	19	compositing	compositing	NOUN
fcis-1722	45	20	operation	operation	NOUN
fcis-1722	45	21	when	when	SCONJ
fcis-1722	45	22	the	the	DET
fcis-1722	45	23	cumulative	cumulative	ADJ
fcis-1722	45	24	opacity	opacity	NOUN
fcis-1722	45	25	exceeds	exceed	VERB
fcis-1722	45	26	1	1	NUM
fcis-1722	45	27	.	.	PUNCT
fcis-1722	46	1	in	in	ADP
fcis-1722	46	2	the	the	DET
fcis-1722	46	3	process	process	NOUN
fcis-1722	46	4	of	of	ADP
fcis-1722	46	5	pixel	pixel	NOUN
fcis-1722	46	6	mixing	mix	VERB
fcis-1722	46	7	iterative	iterative	NOUN
fcis-1722	46	8	solution	solution	NOUN
fcis-1722	46	9	,	,	PUNCT
fcis-1722	46	10	the	the	DET
fcis-1722	46	11	value	value	NOUN
fcis-1722	46	12	of	of	ADP
fcis-1722	46	13	opacity	opacity	NOUN
fcis-1722	46	14	a	a	PRON
fcis-1722	46	15	is	be	AUX
fcis-1722	46	16	gradually	gradually	ADV
fcis-1722	46	17	increased	increase	VERB
fcis-1722	46	18	.	.	PUNCT
fcis-1722	47	1	when	when	SCONJ
fcis-1722	47	2	the	the	DET
fcis-1722	47	3	value	value	NOUN
fcis-1722	47	4	of	of	ADP
fcis-1722	47	5	a	a	PRON
fcis-1722	47	6	is	be	AUX
fcis-1722	47	7	close	close	ADJ
fcis-1722	47	8	to	to	ADP
fcis-1722	47	9	1	1	NUM
fcis-1722	47	10	,	,	PUNCT
fcis-1722	47	11	it	it	PRON
fcis-1722	47	12	means	mean	VERB
fcis-1722	47	13	that	that	SCONJ
fcis-1722	47	14	the	the	DET
fcis-1722	47	15	calculation	calculation	NOUN
fcis-1722	47	16	result	result	NOUN
fcis-1722	47	17	of	of	ADP
fcis-1722	47	18	the	the	DET
fcis-1722	47	19	pixel	pixel	PROPN
fcis-1722	47	20	value	value	NOUN
fcis-1722	47	21	by	by	ADP
fcis-1722	47	22	the	the	DET
fcis-1722	47	23	light	light	NOUN
fcis-1722	47	24	tends	tend	VERB
fcis-1722	47	25	to	to	PART
fcis-1722	47	26	be	be	AUX
fcis-1722	47	27	saturated	saturate	VERB
fcis-1722	47	28	,	,	PUNCT
fcis-1722	47	29	even	even	ADV
fcis-1722	47	30	if	if	SCONJ
fcis-1722	47	31	the	the	DET
fcis-1722	47	32	sampling	sampling	NOUN
fcis-1722	47	33	continues	continue	VERB
fcis-1722	47	34	,	,	PUNCT
fcis-1722	47	35	the	the	DET
fcis-1722	47	36	final	final	ADJ
fcis-1722	47	37	pixel	pixel	NOUN
fcis-1722	47	38	value	value	NOUN
fcis-1722	47	39	almost	almost	ADV
fcis-1722	47	40	unaffected	unaffected	ADJ
fcis-1722	47	41	.	.	PUNCT
fcis-1722	48	1	therefore	therefore	ADV
fcis-1722	48	2	,	,	PUNCT
fcis-1722	48	3	the	the	DET
fcis-1722	48	4	method	method	NOUN
fcis-1722	48	5	of	of	ADP
fcis-1722	48	6	terminating	terminate	VERB
fcis-1722	48	7	the	the	DET
fcis-1722	48	8	ray	ray	NOUN
fcis-1722	48	9	calculation	calculation	NOUN
fcis-1722	48	10	early	early	ADV
fcis-1722	48	11	can	can	AUX
fcis-1722	48	12	be	be	AUX
fcis-1722	48	13	used	use	VERB
fcis-1722	48	14	,	,	PUNCT
fcis-1722	48	15	which	which	PRON
fcis-1722	48	16	can	can	AUX
fcis-1722	48	17	improve	improve	VERB
fcis-1722	48	18	the	the	DET
fcis-1722	48	19	overall	overall	ADJ
fcis-1722	48	20	drawing	drawing	NOUN
fcis-1722	48	21	time	time	NOUN
fcis-1722	48	22	.	.	PUNCT
fcis-1722	49	1	a	a	DET
fcis-1722	49	2	threshold	threshold	NOUN
fcis-1722	49	3	can	can	AUX
fcis-1722	49	4	be	be	AUX
fcis-1722	49	5	set	set	VERB
fcis-1722	49	6	.	.	PUNCT
fcis-1722	50	1	as	as	ADV
fcis-1722	50	2	long	long	ADV
fcis-1722	50	3	as	as	ADP
fcis-1722	50	4	the	the	DET
fcis-1722	50	5	value	value	NOUN
fcis-1722	50	6	of	of	ADP
fcis-1722	50	7	a	a	DET
fcis-1722	50	8	exceeds	exceed	NOUN
fcis-1722	50	9	this	this	DET
fcis-1722	50	10	threshold	threshold	NOUN
fcis-1722	50	11	,	,	PUNCT
fcis-1722	50	12	the	the	DET
fcis-1722	50	13	ray	ray	NOUN
fcis-1722	50	14	will	will	AUX
fcis-1722	50	15	be	be	AUX
fcis-1722	50	16	terminated	terminate	VERB
fcis-1722	50	17	.	.	PUNCT
fcis-1722	51	1	at	at	ADP
fcis-1722	51	2	the	the	DET
fcis-1722	51	3	same	same	ADJ
fcis-1722	51	4	time	time	NOUN
fcis-1722	51	5	,	,	PUNCT
fcis-1722	51	6	combined	combine	VERB
fcis-1722	51	7	with	with	ADP
fcis-1722	51	8	the	the	DET
fcis-1722	51	9	adaptive	adaptive	ADJ
fcis-1722	51	10	accelerated	accelerate	VERB
fcis-1722	51	11	sampling	sampling	NOUN
fcis-1722	51	12	method	method	NOUN
fcis-1722	51	13	,	,	PUNCT
fcis-1722	51	14	that	that	ADV
fcis-1722	51	15	is	is	ADV
fcis-1722	51	16	,	,	PUNCT
fcis-1722	51	17	when	when	SCONJ
fcis-1722	51	18	the	the	DET
fcis-1722	51	19	ray	ray	NOUN
fcis-1722	51	20	traverses	traverse	VERB
fcis-1722	51	21	the	the	DET
fcis-1722	51	22	volume	volume	NOUN
fcis-1722	51	23	data	datum	NOUN
fcis-1722	51	24	,	,	PUNCT
fcis-1722	51	25	if	if	SCONJ
fcis-1722	51	26	it	it	PRON
fcis-1722	51	27	encounters	encounter	VERB
fcis-1722	51	28	an	an	DET
fcis-1722	51	29	invalid	invalid	ADJ
fcis-1722	51	30	sampling	sampling	NOUN
fcis-1722	51	31	point	point	NOUN
fcis-1722	51	32	,	,	PUNCT
fcis-1722	51	33	the	the	DET
fcis-1722	51	34	sampling	sample	VERB
fcis-1722	51	35	interval	interval	NOUN
fcis-1722	51	36	is	be	AUX
fcis-1722	51	37	appropriately	appropriately	ADV
fcis-1722	51	38	increased	increase	VERB
fcis-1722	51	39	.	.	PUNCT
fcis-1722	52	1	reduce	reduce	VERB
fcis-1722	52	2	the	the	DET
fcis-1722	52	3	resampling	resample	VERB
fcis-1722	52	4	frequency	frequency	NOUN
fcis-1722	52	5	,	,	PUNCT
fcis-1722	52	6	and	and	CCONJ
fcis-1722	52	7	restore	restore	VERB
fcis-1722	52	8	the	the	DET
fcis-1722	52	9	resampling	resample	VERB
fcis-1722	52	10	frequency	frequency	NOUN
fcis-1722	52	11	if	if	SCONJ
fcis-1722	52	12	a	a	DET
fcis-1722	52	13	valid	valid	ADJ
fcis-1722	52	14	sampling	sampling	NOUN
fcis-1722	52	15	point	point	NOUN
fcis-1722	52	16	is	be	AUX
fcis-1722	52	17	encountered	encounter	VERB
fcis-1722	52	18	.	.	PUNCT
fcis-1722	53	1	the	the	DET
fcis-1722	53	2	overall	overall	ADJ
fcis-1722	53	3	rendering	rendering	NOUN
fcis-1722	53	4	time	time	NOUN
fcis-1722	53	5	can	can	AUX
fcis-1722	53	6	be	be	AUX
fcis-1722	53	7	further	far	ADV
fcis-1722	53	8	improved	improve	VERB
fcis-1722	53	9	by	by	ADP
fcis-1722	53	10	combining	combine	VERB
fcis-1722	53	11	early	early	ADJ
fcis-1722	53	12	ray	ray	NOUN
fcis-1722	53	13	termination	termination	NOUN
fcis-1722	53	14	with	with	ADP
fcis-1722	53	15	adaptive	adaptive	ADJ
fcis-1722	53	16	sampling	sampling	NOUN
fcis-1722	53	17	acceleration	acceleration	NOUN
fcis-1722	53	18	.	.	PUNCT
fcis-1722	54	1	4.2	4.2	NUM
fcis-1722	54	2	.	.	PUNCT
fcis-1722	55	1	volume	volume	NOUN
fcis-1722	55	2	data	datum	NOUN
fcis-1722	55	3	sub	sub	NOUN
fcis-1722	55	4	-	-	NOUN
fcis-1722	55	5	components	component	NOUN
fcis-1722	55	6	4.2.1	4.2.1	NUM
fcis-1722	55	7	.	.	PUNCT
fcis-1722	56	1	oc	oc	ADP
fcis-1722	56	2	tree	tree	NOUN
fcis-1722	56	3	in	in	ADP
fcis-1722	56	4	the	the	DET
fcis-1722	56	5	case	case	NOUN
fcis-1722	56	6	of	of	ADP
fcis-1722	56	7	a	a	DET
fcis-1722	56	8	large	large	ADJ
fcis-1722	56	9	amount	amount	NOUN
fcis-1722	56	10	of	of	ADP
fcis-1722	56	11	data	datum	NOUN
fcis-1722	56	12	,	,	PUNCT
fcis-1722	56	13	it	it	PRON
fcis-1722	56	14	is	be	AUX
fcis-1722	56	15	more	more	ADV
fcis-1722	56	16	difficult	difficult	ADJ
fcis-1722	56	17	to	to	PART
fcis-1722	56	18	use	use	VERB
fcis-1722	56	19	the	the	DET
fcis-1722	56	20	determination	determination	NOUN
fcis-1722	56	21	of	of	ADP
fcis-1722	56	22	the	the	DET
fcis-1722	56	23	minimum	minimum	ADJ
fcis-1722	56	24	granularity	granularity	NOUN
fcis-1722	56	25	(	(	PUNCT
fcis-1722	56	26	leaf	leaf	NOUN
fcis-1722	56	27	node	node	NOUN
fcis-1722	56	28	)	)	PUNCT
fcis-1722	56	29	.	.	PUNCT
fcis-1722	57	1	when	when	SCONJ
fcis-1722	57	2	the	the	DET
fcis-1722	57	3	granularity	granularity	NOUN
fcis-1722	57	4	is	be	AUX
fcis-1722	57	5	large	large	ADJ
fcis-1722	57	6	,	,	PUNCT
fcis-1722	57	7	the	the	DET
fcis-1722	57	8	data	data	NOUN
fcis-1722	57	9	volume	volume	NOUN
fcis-1722	57	10	of	of	ADP
fcis-1722	57	11	some	some	DET
fcis-1722	57	12	nodes	node	NOUN
fcis-1722	57	13	may	may	AUX
fcis-1722	57	14	still	still	ADV
fcis-1722	57	15	be	be	AUX
fcis-1722	57	16	relatively	relatively	ADV
fcis-1722	57	17	large	large	ADJ
fcis-1722	57	18	,	,	PUNCT
fcis-1722	57	19	and	and	CCONJ
fcis-1722	57	20	the	the	DET
fcis-1722	57	21	subsequent	subsequent	ADJ
fcis-1722	57	22	query	query	NOUN
fcis-1722	57	23	efficiency	efficiency	NOUN
fcis-1722	57	24	is	be	AUX
fcis-1722	57	25	still	still	ADV
fcis-1722	57	26	relatively	relatively	ADV
fcis-1722	57	27	low	low	ADJ
fcis-1722	57	28	.	.	PUNCT
fcis-1722	58	1	on	on	ADP
fcis-1722	58	2	the	the	DET
fcis-1722	58	3	contrary	contrary	NOUN
fcis-1722	58	4	,	,	PUNCT
fcis-1722	58	5	the	the	DET
fcis-1722	58	6	granularity	granularity	NOUN
fcis-1722	58	7	is	be	AUX
fcis-1722	58	8	small	small	ADJ
fcis-1722	58	9	.	.	PUNCT
fcis-1722	59	1	the	the	DET
fcis-1722	59	2	depth	depth	NOUN
fcis-1722	59	3	of	of	ADP
fcis-1722	59	4	the	the	DET
fcis-1722	59	5	fork	fork	NOUN
fcis-1722	59	6	tree	tree	NOUN
fcis-1722	59	7	increases	increase	NOUN
fcis-1722	59	8	,	,	PUNCT
fcis-1722	59	9	the	the	DET
fcis-1722	59	10	required	require	VERB
fcis-1722	59	11	memory	memory	NOUN
fcis-1722	59	12	space	space	NOUN
fcis-1722	59	13	is	be	AUX
fcis-1722	59	14	relatively	relatively	ADV
fcis-1722	59	15	large	large	ADJ
fcis-1722	59	16	(	(	PUNCT
fcis-1722	59	17	each	each	DET
fcis-1722	59	18	non	non	ADJ
fcis-1722	59	19	-	-	ADJ
fcis-1722	59	20	leaf	leaf	ADJ
fcis-1722	59	21	node	node	NOUN
fcis-1722	59	22	requires	require	VERB
fcis-1722	59	23	eight	eight	NUM
fcis-1722	59	24	pointers	pointer	NOUN
fcis-1722	59	25	)	)	PUNCT
fcis-1722	59	26	,	,	PUNCT
fcis-1722	59	27	and	and	CCONJ
fcis-1722	59	28	the	the	DET
fcis-1722	59	29	efficiency	efficiency	NOUN
fcis-1722	59	30	is	be	AUX
fcis-1722	59	31	also	also	ADV
fcis-1722	59	32	reduced	reduce	VERB
fcis-1722	59	33	.	.	PUNCT
fcis-1722	60	1	the	the	DET
fcis-1722	60	2	division	division	NOUN
fcis-1722	60	3	basis	basis	NOUN
fcis-1722	60	4	of	of	ADP
fcis-1722	60	5	equal	equal	ADJ
fcis-1722	60	6	division	division	NOUN
fcis-1722	60	7	makes	make	VERB
fcis-1722	60	8	the	the	DET
fcis-1722	60	9	efficiency	efficiency	NOUN
fcis-1722	60	10	not	not	PART
fcis-1722	60	11	too	too	ADV
fcis-1722	60	12	high	high	ADJ
fcis-1722	60	13	due	due	ADP
fcis-1722	60	14	to	to	ADP
fcis-1722	60	15	the	the	DET
fcis-1722	60	16	limitation	limitation	NOUN
fcis-1722	60	17	of	of	ADP
fcis-1722	60	18	division	division	NOUN
fcis-1722	60	19	depth	depth	NOUN
fcis-1722	60	20	when	when	SCONJ
fcis-1722	60	21	the	the	DET
fcis-1722	60	22	data	data	NOUN
fcis-1722	60	23	center	center	NOUN
fcis-1722	60	24	of	of	ADP
fcis-1722	60	25	gravity	gravity	NOUN
fcis-1722	60	26	is	be	AUX
fcis-1722	60	27	skewed	skew	VERB
fcis-1722	60	28	.	.	PUNCT
fcis-1722	61	1	the	the	DET
fcis-1722	61	2	empty	empty	ADJ
fcis-1722	61	3	voxel	voxel	PROPN
fcis-1722	61	4	jumping	jumping	NOUN
fcis-1722	61	5	method	method	NOUN
fcis-1722	61	6	based	base	VERB
fcis-1722	61	7	on	on	ADP
fcis-1722	61	8	the	the	DET
fcis-1722	61	9	octree	octree	NOUN
fcis-1722	61	10	structure	structure	NOUN
fcis-1722	61	11	,	,	PUNCT
fcis-1722	61	12	that	that	ADV
fcis-1722	61	13	is	is	ADV
fcis-1722	61	14	,	,	PUNCT
fcis-1722	61	15	recursively	recursively	ADV
fcis-1722	61	16	divides	divide	VERB
fcis-1722	61	17	each	each	DET
fcis-1722	61	18	block	block	NOUN
fcis-1722	61	19	of	of	ADP
fcis-1722	61	20	volume	volume	NOUN
fcis-1722	61	21	data	datum	NOUN
fcis-1722	61	22	into	into	ADP
fcis-1722	61	23	eight	eight	NUM
fcis-1722	61	24	parts	part	NOUN
fcis-1722	61	25	,	,	PUNCT
fcis-1722	61	26	and	and	CCONJ
fcis-1722	61	27	records	record	VERB
fcis-1722	61	28	the	the	DET
fcis-1722	61	29	in	in	ADP
fcis-1722	61	30	and	and	CCONJ
fcis-1722	61	31	out	out	ADP
fcis-1722	61	32	points	point	NOUN
fcis-1722	61	33	of	of	ADP
fcis-1722	61	34	each	each	DET
fcis-1722	61	35	block	block	NOUN
fcis-1722	61	36	of	of	ADP
fcis-1722	61	37	non	non	ADJ
fcis-1722	61	38	-	-	ADJ
fcis-1722	61	39	empty	empty	ADJ
fcis-1722	61	40	data	datum	NOUN
fcis-1722	61	41	that	that	PRON
fcis-1722	61	42	the	the	DET
fcis-1722	61	43	light	light	NOUN
fcis-1722	61	44	passes	pass	VERB
fcis-1722	61	45	through	through	ADP
fcis-1722	61	46	to	to	ADP
fcis-1722	61	47	sample	sample	NOUN
fcis-1722	61	48	.	.	PUNCT
fcis-1722	62	1	however	however	ADV
fcis-1722	62	2	,	,	PUNCT
fcis-1722	62	3	the	the	DET
fcis-1722	62	4	octree	octree	NOUN
fcis-1722	62	5	-	-	PUNCT
fcis-1722	62	6	based	base	VERB
fcis-1722	62	7	method	method	NOUN
fcis-1722	62	8	will	will	AUX
fcis-1722	62	9	additionally	additionally	ADV
fcis-1722	62	10	record	record	VERB
fcis-1722	62	11	many	many	ADJ
fcis-1722	62	12	empty	empty	ADJ
fcis-1722	62	13	nodes	node	NOUN
fcis-1722	62	14	,	,	PUNCT
fcis-1722	62	15	which	which	PRON
fcis-1722	62	16	increases	increase	VERB
fcis-1722	62	17	the	the	DET
fcis-1722	62	18	computational	computational	ADJ
fcis-1722	62	19	complexity	complexity	NOUN
fcis-1722	62	20	of	of	ADP
fcis-1722	62	21	sampling	sample	VERB
fcis-1722	62	22	.	.	PUNCT
fcis-1722	63	1	4.2.2	4.2.2	X
fcis-1722	63	2	.	.	PUNCT
fcis-1722	63	3	aabb	aabb	PROPN
fcis-1722	63	4	bounding	bounding	PROPN
fcis-1722	63	5	box	box	NOUN
fcis-1722	63	6	tree	tree	NOUN
fcis-1722	63	7	the	the	DET
fcis-1722	63	8	hierarchical	hierarchical	ADJ
fcis-1722	63	9	bounding	bounding	NOUN
fcis-1722	63	10	box	box	NOUN
fcis-1722	63	11	is	be	AUX
fcis-1722	63	12	referred	refer	VERB
fcis-1722	63	13	to	to	ADP
fcis-1722	63	14	as	as	ADP
fcis-1722	63	15	bvh	bvh	NOUN
fcis-1722	63	16	;	;	PUNCT
fcis-1722	63	17	and	and	CCONJ
fcis-1722	63	18	the	the	DET
fcis-1722	63	19	hierarchical	hierarchical	ADJ
fcis-1722	63	20	bounding	bounding	NOUN
fcis-1722	63	21	box	box	NOUN
fcis-1722	63	22	tree	tree	NOUN
fcis-1722	63	23	is	be	AUX
fcis-1722	63	24	a	a	DET
fcis-1722	63	25	binary	binary	ADJ
fcis-1722	63	26	tree	tree	NOUN
fcis-1722	63	27	used	use	VERB
fcis-1722	63	28	to	to	PART
fcis-1722	63	29	store	store	VERB
fcis-1722	63	30	the	the	DET
fcis-1722	63	31	shape	shape	NOUN
fcis-1722	63	32	of	of	ADP
fcis-1722	63	33	the	the	DET
fcis-1722	63	34	bounding	bounding	NOUN
fcis-1722	63	35	box	box	NOUN
fcis-1722	63	36	.	.	PUNCT
fcis-1722	64	1	its	its	PRON
fcis-1722	64	2	root	root	NOUN
fcis-1722	64	3	node	node	NOUN
fcis-1722	64	4	represents	represent	VERB
fcis-1722	64	5	the	the	DET
fcis-1722	64	6	largest	large	ADJ
fcis-1722	64	7	bounding	bounding	NOUN
fcis-1722	64	8	box	box	NOUN
fcis-1722	64	9	,	,	PUNCT
fcis-1722	64	10	and	and	CCONJ
fcis-1722	64	11	the	the	DET
fcis-1722	64	12	next	next	ADJ
fcis-1722	64	13	2	2	NUM
fcis-1722	64	14	child	child	NOUN
fcis-1722	64	15	nodes	node	NOUN
fcis-1722	64	16	represent	represent	VERB
fcis-1722	64	17	2	2	NUM
fcis-1722	64	18	sub	sub	ADJ
fcis-1722	64	19	-	-	ADJ
fcis-1722	64	20	bounding	bounding	ADJ
fcis-1722	64	21	boxes	box	NOUN
fcis-1722	64	22	.	.	PUNCT
fcis-1722	65	1	the	the	DET
fcis-1722	65	2	aabb	aabb	PROPN
fcis-1722	65	3	bounding	bounding	PROPN
fcis-1722	65	4	box	box	NOUN
fcis-1722	65	5	is	be	AUX
fcis-1722	65	6	an	an	DET
fcis-1722	65	7	axisymmetric	axisymmetric	ADJ
fcis-1722	65	8	bounding	bounding	NOUN
fcis-1722	65	9	box	box	NOUN
fcis-1722	65	10	,	,	PUNCT
fcis-1722	65	11	that	that	ADV
fcis-1722	65	12	is	is	ADV
fcis-1722	65	13	,	,	PUNCT
fcis-1722	65	14	the	the	DET
fcis-1722	65	15	six	six	NUM
fcis-1722	65	16	faces	face	NOUN
fcis-1722	65	17	of	of	ADP
fcis-1722	65	18	the	the	DET
fcis-1722	65	19	box	box	NOUN
fcis-1722	65	20	are	be	AUX
fcis-1722	65	21	parallel	parallel	ADJ
fcis-1722	65	22	to	to	ADP
fcis-1722	65	23	the	the	DET
fcis-1722	65	24	xy	xy	PROPN
fcis-1722	65	25	,	,	PUNCT
fcis-1722	65	26	xz	xz	PROPN
fcis-1722	65	27	,	,	PUNCT
fcis-1722	65	28	yz	yz	PROPN
fcis-1722	65	29	planes	plane	NOUN
fcis-1722	65	30	figure	figure	NOUN
fcis-1722	65	31	1	1	NUM
fcis-1722	65	32	.	.	PUNCT
fcis-1722	66	1	bounding	bound	VERB
fcis-1722	66	2	volume	volume	NOUN
fcis-1722	66	3	hierarchy	hierarchy	NOUN
fcis-1722	66	4	subdivide	subdivide	VERB
fcis-1722	66	5	the	the	DET
fcis-1722	66	6	body	body	NOUN
fcis-1722	66	7	data	datum	NOUN
fcis-1722	66	8	with	with	ADP
fcis-1722	66	9	an	an	DET
fcis-1722	66	10	improved	improved	ADJ
fcis-1722	66	11	bounding	bounding	NOUN
fcis-1722	66	12	box	box	NOUN
fcis-1722	66	13	structure	structure	NOUN
fcis-1722	66	14	,	,	PUNCT
fcis-1722	66	15	with	with	ADP
fcis-1722	66	16	each	each	DET
fcis-1722	66	17	leaf	leaf	NOUN
fcis-1722	66	18	node	node	NOUN
fcis-1722	66	19	corresponding	correspond	VERB
fcis-1722	66	20	to	to	ADP
fcis-1722	66	21	a	a	DET
fcis-1722	66	22	subblock	subblock	NOUN
fcis-1722	66	23	of	of	ADP
fcis-1722	66	24	data	datum	NOUN
fcis-1722	66	25	.	.	PUNCT
fcis-1722	67	1	in	in	ADP
fcis-1722	67	2	the	the	DET
fcis-1722	67	3	sub	sub	ADJ
fcis-1722	67	4	-	-	ADJ
fcis-1722	67	5	division	division	NOUN
fcis-1722	67	6	process	process	NOUN
fcis-1722	67	7	,	,	PUNCT
fcis-1722	67	8	each	each	DET
fcis-1722	67	9	sub	sub	ADJ
fcis-1722	67	10	-	-	ADJ
fcis-1722	67	11	data	data	ADJ
fcis-1722	67	12	block	block	NOUN
fcis-1722	67	13	needs	need	VERB
fcis-1722	67	14	to	to	PART
fcis-1722	67	15	be	be	AUX
fcis-1722	67	16	expanded	expand	VERB
fcis-1722	67	17	by	by	ADP
fcis-1722	67	18	a	a	DET
fcis-1722	67	19	voxel	voxel	PROPN
fcis-1722	67	20	to	to	PART
fcis-1722	67	21	avoid	avoid	VERB
fcis-1722	67	22	errors	error	NOUN
fcis-1722	67	23	during	during	ADP
fcis-1722	67	24	boundary	boundary	ADJ
fcis-1722	67	25	interpolation	interpolation	NOUN
fcis-1722	67	26	(	(	PUNCT
fcis-1722	67	27	the	the	DET
fcis-1722	67	28	value	value	NOUN
fcis-1722	67	29	obtained	obtain	VERB
fcis-1722	67	30	by	by	ADP
fcis-1722	67	31	interpolation	interpolation	NOUN
fcis-1722	67	32	may	may	AUX
fcis-1722	67	33	be	be	AUX
fcis-1722	67	34	greater	great	ADJ
fcis-1722	67	35	than	than	ADP
fcis-1722	67	36	the	the	DET
fcis-1722	67	37	maximum	maximum	ADJ
fcis-1722	67	38	value	value	NOUN
fcis-1722	67	39	of	of	ADP
fcis-1722	67	40	the	the	DET
fcis-1722	67	41	original	original	ADJ
fcis-1722	67	42	sub	sub	ADJ
fcis-1722	67	43	-	-	ADJ
fcis-1722	67	44	data	data	ADJ
fcis-1722	67	45	block	block	NOUN
fcis-1722	67	46	or	or	CCONJ
fcis-1722	67	47	smaller	small	ADJ
fcis-1722	67	48	than	than	ADP
fcis-1722	67	49	the	the	DET
fcis-1722	67	50	minimum	minimum	ADJ
fcis-1722	67	51	value	value	NOUN
fcis-1722	67	52	of	of	ADP
fcis-1722	67	53	the	the	DET
fcis-1722	67	54	original	original	ADJ
fcis-1722	67	55	sub	sub	ADJ
fcis-1722	67	56	-	-	ADJ
fcis-1722	67	57	data	data	ADJ
fcis-1722	67	58	block	block	NOUN
fcis-1722	67	59	.	.	PUNCT
fcis-1722	67	60	)	)	PUNCT
fcis-1722	67	61	,	,	PUNCT
fcis-1722	67	62	and	and	CCONJ
fcis-1722	67	63	then	then	ADV
fcis-1722	67	64	count	count	VERB
fcis-1722	67	65	the	the	DET
fcis-1722	67	66	minimum	minimum	ADJ
fcis-1722	67	67	and	and	CCONJ
fcis-1722	67	68	maximum	maximum	ADJ
fcis-1722	67	69	values	value	NOUN
fcis-1722	67	70	of	of	ADP
fcis-1722	67	71	each	each	DET
fcis-1722	67	72	sub	sub	ADJ
fcis-1722	67	73	-	-	ADJ
fcis-1722	67	74	data	data	ADJ
fcis-1722	67	75	block	block	NOUN
fcis-1722	67	76	,	,	PUNCT
fcis-1722	67	77	and	and	CCONJ
fcis-1722	67	78	store	store	VERB
fcis-1722	67	79	them	they	PRON
fcis-1722	67	80	in	in	ADP
fcis-1722	67	81	the	the	DET
fcis-1722	67	82	original	original	ADJ
fcis-1722	67	83	bounding	bounding	NOUN
fcis-1722	67	84	box	box	NOUN
fcis-1722	67	85	structure	structure	NOUN
fcis-1722	67	86	for	for	ADP
fcis-1722	67	87	generating	generate	VERB
fcis-1722	67	88	3	3	NUM
fcis-1722	67	89	-	-	PUNCT
fcis-1722	67	90	dimensional	dimensional	ADJ
fcis-1722	67	91	textures	texture	NOUN
fcis-1722	67	92	.	.	PUNCT
fcis-1722	68	1	4.2.3	4.2.3	X
fcis-1722	68	2	.	.	PUNCT
fcis-1722	69	1	improvement	improvement	NOUN
fcis-1722	69	2	to	to	AUX
fcis-1722	69	3	empty	empty	ADJ
fcis-1722	69	4	voxel	voxel	NOUN
fcis-1722	69	5	skipping	skip	VERB
fcis-1722	69	6	recursively	recursively	ADV
fcis-1722	69	7	divide	divide	VERB
fcis-1722	69	8	each	each	DET
fcis-1722	69	9	block	block	NOUN
fcis-1722	69	10	of	of	ADP
fcis-1722	69	11	data	datum	NOUN
fcis-1722	69	12	into	into	ADP
fcis-1722	69	13	eight	eight	NUM
fcis-1722	69	14	parts	part	NOUN
fcis-1722	69	15	to	to	PART
fcis-1722	69	16	form	form	VERB
fcis-1722	69	17	an	an	DET
fcis-1722	69	18	octree	octree	NOUN
fcis-1722	69	19	.	.	PUNCT
fcis-1722	70	1	for	for	ADP
fcis-1722	70	2	the	the	DET
fcis-1722	70	3	volume	volume	NOUN
fcis-1722	70	4	data	datum	NOUN
fcis-1722	70	5	block	block	NOUN
fcis-1722	70	6	of	of	ADP
fcis-1722	70	7	each	each	DET
fcis-1722	70	8	leaf	leaf	NOUN
fcis-1722	70	9	node	node	NOUN
fcis-1722	70	10	,	,	PUNCT
fcis-1722	70	11	the	the	DET
fcis-1722	70	12	marked	mark	VERB
fcis-1722	70	13	attribute	attribute	NOUN
fcis-1722	70	14	is	be	AUX
fcis-1722	70	15	one	one	NUM
fcis-1722	70	16	of	of	ADP
fcis-1722	70	17	empty	empty	ADJ
fcis-1722	70	18	,	,	PUNCT
fcis-1722	70	19	non	non	ADJ
fcis-1722	70	20	-	-	ADJ
fcis-1722	70	21	empty	empty	ADJ
fcis-1722	70	22	,	,	PUNCT
fcis-1722	70	23	and	and	CCONJ
fcis-1722	70	24	unknown	unknown	ADJ
fcis-1722	70	25	;	;	PUNCT
fcis-1722	70	26	for	for	ADP
fcis-1722	70	27	each	each	DET
fcis-1722	70	28	non	non	ADJ
fcis-1722	70	29	-	-	ADJ
fcis-1722	70	30	leaf	leaf	ADJ
fcis-1722	70	31	node	node	NOUN
fcis-1722	70	32	,	,	PUNCT
fcis-1722	70	33	the	the	DET
fcis-1722	70	34	attribute	attribute	NOUN
fcis-1722	70	35	proportion	proportion	NOUN
fcis-1722	70	36	of	of	ADP
fcis-1722	70	37	its	its	PRON
fcis-1722	70	38	child	child	NOUN
fcis-1722	70	39	nodes	node	NOUN
fcis-1722	70	40	is	be	AUX
fcis-1722	70	41	counted	count	VERB
fcis-1722	70	42	,	,	PUNCT
fcis-1722	70	43	and	and	CCONJ
fcis-1722	70	44	its	its	PRON
fcis-1722	70	45	attribute	attribute	NOUN
fcis-1722	70	46	is	be	AUX
fcis-1722	70	47	assigned	assign	VERB
fcis-1722	70	48	as	as	ADP
fcis-1722	70	49	proportion	proportion	NOUN
fcis-1722	70	50	highest	high	ADJ
fcis-1722	70	51	attribute	attribute	NOUN
fcis-1722	70	52	.	.	PUNCT
fcis-1722	71	1	perform	perform	VERB
fcis-1722	71	2	a	a	DET
fcis-1722	71	3	breadth	breadth	NOUN
fcis-1722	71	4	-	-	PUNCT
fcis-1722	71	5	first	first	ADJ
fcis-1722	71	6	search	search	NOUN
fcis-1722	71	7	on	on	ADP
fcis-1722	71	8	the	the	DET
fcis-1722	71	9	octree	octree	NOUN
fcis-1722	71	10	of	of	ADP
fcis-1722	71	11	the	the	DET
fcis-1722	71	12	volume	volume	NOUN
fcis-1722	71	13	data	datum	NOUN
fcis-1722	71	14	,	,	PUNCT
fcis-1722	71	15	and	and	CCONJ
fcis-1722	71	16	construct	construct	VERB
fcis-1722	71	17	a	a	DET
fcis-1722	71	18	bounding	bounding	NOUN
fcis-1722	71	19	box	box	NOUN
fcis-1722	71	20	for	for	ADP
fcis-1722	71	21	the	the	DET
fcis-1722	71	22	volume	volume	NOUN
fcis-1722	71	23	data	datum	NOUN
fcis-1722	71	24	blocks	block	NOUN
fcis-1722	71	25	whose	whose	DET
fcis-1722	71	26	attributes	attribute	NOUN
fcis-1722	71	27	are	be	AUX
fcis-1722	71	28	different	different	ADJ
fcis-1722	71	29	from	from	ADP
fcis-1722	71	30	their	their	PRON
fcis-1722	71	31	parent	parent	NOUN
fcis-1722	71	32	nodes	node	NOUN
fcis-1722	71	33	.	.	PUNCT
fcis-1722	72	1	for	for	ADP
fcis-1722	72	2	each	each	DET
fcis-1722	72	3	ray	ray	NOUN
fcis-1722	72	4	,	,	PUNCT
fcis-1722	72	5	when	when	SCONJ
fcis-1722	72	6	it	it	PRON
fcis-1722	72	7	passes	pass	VERB
fcis-1722	72	8	through	through	ADP
fcis-1722	72	9	the	the	DET
fcis-1722	72	10	bounding	bounding	NOUN
fcis-1722	72	11	box	box	NOUN
fcis-1722	72	12	,	,	PUNCT
fcis-1722	72	13	it	it	PRON
fcis-1722	72	14	is	be	AUX
fcis-1722	72	15	merged	merge	VERB
fcis-1722	72	16	and	and	CCONJ
fcis-1722	72	17	deleted	delete	VERB
fcis-1722	72	18	according	accord	VERB
fcis-1722	72	19	to	to	ADP
fcis-1722	72	20	the	the	DET
fcis-1722	72	21	rules	rule	NOUN
fcis-1722	72	22	to	to	PART
fcis-1722	72	23	determine	determine	VERB
fcis-1722	72	24	the	the	DET
fcis-1722	72	25	sampling	sample	VERB
fcis-1722	72	26	range	range	NOUN
fcis-1722	72	27	.	.	PUNCT
fcis-1722	73	1	volume	volume	NOUN
fcis-1722	73	2	rendering	rendering	NOUN
fcis-1722	73	3	of	of	ADP
fcis-1722	73	4	ray	ray	NOUN
fcis-1722	73	5	casting	cast	VERB
fcis-1722	73	6	algorithm	algorithm	NOUN
fcis-1722	73	7	using	use	VERB
fcis-1722	73	8	lazy	lazy	ADJ
fcis-1722	73	9	loading	loading	NOUN
fcis-1722	73	10	method	method	NOUN
fcis-1722	73	11	figure	figure	NOUN
fcis-1722	73	12	2	2	NUM
fcis-1722	73	13	.	.	PUNCT
fcis-1722	73	14	empty	empty	ADJ
fcis-1722	73	15	voxel	voxel	NOUN
fcis-1722	73	16	skipping	skip	VERB
fcis-1722	73	17	4.2.4	4.2.4	NUM
fcis-1722	73	18	.	.	PUNCT
fcis-1722	74	1	grouped	group	VERB
fcis-1722	74	2	linear	linear	PROPN
fcis-1722	74	3	interpolation	interpolation	NOUN
fcis-1722	74	4	the	the	DET
fcis-1722	74	5	traditional	traditional	ADJ
fcis-1722	74	6	linear	linear	ADJ
fcis-1722	74	7	interpolation	interpolation	NOUN
fcis-1722	74	8	calculation	calculation	NOUN
fcis-1722	74	9	process	process	NOUN
fcis-1722	74	10	is	be	AUX
fcis-1722	74	11	52	52	NUM
fcis-1722	74	12	quite	quite	ADV
fcis-1722	74	13	complicated	complicated	ADJ
fcis-1722	74	14	and	and	CCONJ
fcis-1722	74	15	consumes	consume	VERB
fcis-1722	74	16	a	a	DET
fcis-1722	74	17	lot	lot	NOUN
fcis-1722	74	18	of	of	ADP
fcis-1722	74	19	computing	compute	VERB
fcis-1722	74	20	resources	resource	NOUN
fcis-1722	74	21	,	,	PUNCT
fcis-1722	74	22	which	which	PRON
fcis-1722	74	23	is	be	AUX
fcis-1722	74	24	the	the	DET
fcis-1722	74	25	main	main	ADJ
fcis-1722	74	26	reason	reason	NOUN
fcis-1722	74	27	why	why	SCONJ
fcis-1722	74	28	the	the	DET
fcis-1722	74	29	traditional	traditional	ADJ
fcis-1722	74	30	ray	ray	NOUN
fcis-1722	74	31	casting	cast	VERB
fcis-1722	74	32	algorithm	algorithm	NOUN
fcis-1722	74	33	can	can	AUX
fcis-1722	74	34	not	not	PART
fcis-1722	74	35	draw	draw	VERB
fcis-1722	74	36	in	in	ADP
fcis-1722	74	37	real	real	ADJ
fcis-1722	74	38	time	time	NOUN
fcis-1722	74	39	in	in	ADP
fcis-1722	74	40	the	the	DET
fcis-1722	74	41	interpolation	interpolation	NOUN
fcis-1722	74	42	calculation	calculation	NOUN
fcis-1722	74	43	stage	stage	NOUN
fcis-1722	74	44	,	,	PUNCT
fcis-1722	74	45	all	all	PRON
fcis-1722	74	46	resampling	resample	VERB
fcis-1722	74	47	points	point	NOUN
fcis-1722	74	48	on	on	ADP
fcis-1722	74	49	a	a	DET
fcis-1722	74	50	ray	ray	NOUN
fcis-1722	74	51	are	be	AUX
fcis-1722	74	52	divided	divide	VERB
fcis-1722	74	53	into	into	ADP
fcis-1722	74	54	3	3	NUM
fcis-1722	74	55	levels	level	NOUN
fcis-1722	74	56	according	accord	VERB
fcis-1722	74	57	to	to	ADP
fcis-1722	74	58	the	the	DET
fcis-1722	74	59	distance	distance	NOUN
fcis-1722	74	60	from	from	ADP
fcis-1722	74	61	the	the	DET
fcis-1722	74	62	viewpoint	viewpoint	NOUN
fcis-1722	74	63	,	,	PUNCT
fcis-1722	74	64	and	and	CCONJ
fcis-1722	74	65	different	different	ADJ
fcis-1722	74	66	linear	linear	ADJ
fcis-1722	74	67	interpolation	interpolation	NOUN
fcis-1722	74	68	is	be	AUX
fcis-1722	74	69	used	use	VERB
fcis-1722	74	70	for	for	ADP
fcis-1722	74	71	each	each	DET
fcis-1722	74	72	level	level	NOUN
fcis-1722	74	73	.	.	PUNCT
fcis-1722	75	1	compared	compare	VERB
fcis-1722	75	2	with	with	ADP
fcis-1722	75	3	the	the	DET
fcis-1722	75	4	traditional	traditional	ADJ
fcis-1722	75	5	algorithm	algorithm	NOUN
fcis-1722	75	6	,	,	PUNCT
fcis-1722	75	7	the	the	DET
fcis-1722	75	8	hierarchical	hierarchical	ADJ
fcis-1722	75	9	grouping	group	VERB
fcis-1722	75	10	linear	linear	ADJ
fcis-1722	75	11	interpolation	interpolation	NOUN
fcis-1722	75	12	method	method	NOUN
fcis-1722	75	13	does	do	AUX
fcis-1722	75	14	not	not	PART
fcis-1722	75	15	reduce	reduce	VERB
fcis-1722	75	16	the	the	DET
fcis-1722	75	17	number	number	NOUN
fcis-1722	75	18	of	of	ADP
fcis-1722	75	19	resampling	resample	VERB
fcis-1722	75	20	points	point	NOUN
fcis-1722	75	21	and	and	CCONJ
fcis-1722	75	22	does	do	AUX
fcis-1722	75	23	not	not	PART
fcis-1722	75	24	reduce	reduce	VERB
fcis-1722	75	25	the	the	DET
fcis-1722	75	26	authenticity	authenticity	NOUN
fcis-1722	75	27	of	of	ADP
fcis-1722	75	28	the	the	DET
fcis-1722	75	29	image	image	NOUN
fcis-1722	75	30	.	.	PUNCT
fcis-1722	76	1	according	accord	VERB
fcis-1722	76	2	to	to	ADP
fcis-1722	76	3	the	the	DET
fcis-1722	76	4	different	different	ADJ
fcis-1722	76	5	positions	position	NOUN
fcis-1722	76	6	of	of	ADP
fcis-1722	76	7	the	the	DET
fcis-1722	76	8	resampling	resample	VERB
fcis-1722	76	9	points	point	NOUN
fcis-1722	76	10	on	on	ADP
fcis-1722	76	11	the	the	DET
fcis-1722	76	12	light	light	NOUN
fcis-1722	76	13	,	,	PUNCT
fcis-1722	76	14	it	it	PRON
fcis-1722	76	15	gradually	gradually	ADV
fcis-1722	76	16	decreases	decrease	VERB
fcis-1722	76	17	from	from	ADP
fcis-1722	76	18	the	the	DET
fcis-1722	76	19	first	first	ADJ
fcis-1722	76	20	level	level	NOUN
fcis-1722	76	21	to	to	ADP
fcis-1722	76	22	the	the	DET
fcis-1722	76	23	third	third	ADJ
fcis-1722	76	24	level	level	NOUN
fcis-1722	76	25	.	.	PUNCT
fcis-1722	77	1	the	the	DET
fcis-1722	77	2	amount	amount	NOUN
fcis-1722	77	3	of	of	ADP
fcis-1722	77	4	interpolation	interpolation	NOUN
fcis-1722	77	5	calculation	calculation	NOUN
fcis-1722	77	6	of	of	ADP
fcis-1722	77	7	each	each	DET
fcis-1722	77	8	level	level	NOUN
fcis-1722	77	9	of	of	ADP
fcis-1722	77	10	resampling	resample	VERB
fcis-1722	77	11	point	point	NOUN
fcis-1722	77	12	greatly	greatly	ADV
fcis-1722	77	13	shortens	shorten	VERB
fcis-1722	77	14	the	the	DET
fcis-1722	77	15	total	total	ADJ
fcis-1722	77	16	interpolation	interpolation	NOUN
fcis-1722	77	17	calculation	calculation	NOUN
fcis-1722	77	18	time	time	NOUN
fcis-1722	77	19	and	and	CCONJ
fcis-1722	77	20	achieves	achieve	VERB
fcis-1722	77	21	the	the	DET
fcis-1722	77	22	purpose	purpose	NOUN
fcis-1722	77	23	of	of	ADP
fcis-1722	77	24	improving	improve	VERB
fcis-1722	77	25	the	the	DET
fcis-1722	77	26	rendering	rendering	NOUN
fcis-1722	77	27	efficiency	efficiency	NOUN
fcis-1722	77	28	of	of	ADP
fcis-1722	77	29	the	the	DET
fcis-1722	77	30	algorithm	algorithm	NOUN
fcis-1722	77	31	.	.	PUNCT
fcis-1722	78	1	figure	figure	NOUN
fcis-1722	78	2	3	3	NUM
fcis-1722	78	3	.	.	PUNCT
fcis-1722	78	4	computation	computation	NOUN
fcis-1722	78	5	time	time	PROPN
fcis-1722	78	6	comparison	comparison	NOUN
fcis-1722	78	7	5	5	NUM
fcis-1722	78	8	.	.	PUNCT
fcis-1722	79	1	experiment	experiment	NOUN
fcis-1722	79	2	analysis	analysis	NOUN
fcis-1722	79	3	in	in	ADP
fcis-1722	79	4	this	this	DET
fcis-1722	79	5	experiment	experiment	NOUN
fcis-1722	80	1	,	,	PUNCT
fcis-1722	80	2	the	the	DET
fcis-1722	80	3	computer	computer	NOUN
fcis-1722	80	4	configuration	configuration	NOUN
fcis-1722	80	5	is	be	AUX
fcis-1722	80	6	amd	amd	ADJ
fcis-1722	80	7	ryzen	ryzen	ADJ
fcis-1722	80	8	5	5	NUM
fcis-1722	80	9	5600h	5600h	NUM
fcis-1722	80	10	with	with	ADP
fcis-1722	80	11	radeon	radeon	NOUN
fcis-1722	80	12	graphics	graphic	NOUN
fcis-1722	80	13	3.30	3.30	NUM
fcis-1722	80	14	ghz	ghz	NOUN
fcis-1722	80	15	,	,	PUNCT
fcis-1722	80	16	windows	window	VERB
fcis-1722	80	17	10	10	NUM
fcis-1722	80	18	64	64	NUM
fcis-1722	80	19	-	-	PUNCT
fcis-1722	80	20	bit	bit	NOUN
fcis-1722	80	21	,	,	PUNCT
fcis-1722	80	22	16	16	NUM
fcis-1722	80	23	gb	gb	NOUN
fcis-1722	80	24	memory	memory	NOUN
fcis-1722	80	25	.	.	PUNCT
fcis-1722	81	1	the	the	DET
fcis-1722	81	2	programming	programming	NOUN
fcis-1722	81	3	environment	environment	NOUN
fcis-1722	81	4	is	be	AUX
fcis-1722	81	5	visual	visual	ADJ
fcis-1722	81	6	studio	studio	NOUN
fcis-1722	81	7	2019	2019	NUM
fcis-1722	81	8	and	and	CCONJ
fcis-1722	81	9	unity3d	unity3d	NOUN
fcis-1722	81	10	,	,	PUNCT
fcis-1722	81	11	using	use	VERB
fcis-1722	81	12	c	c	NOUN
fcis-1722	81	13	#	#	NOUN
fcis-1722	81	14	programming	programming	NOUN
fcis-1722	81	15	and	and	CCONJ
fcis-1722	81	16	hlsl	hlsl	PROPN
fcis-1722	81	17	shading	shading	NOUN
fcis-1722	81	18	language	language	NOUN
fcis-1722	81	19	.	.	PUNCT
fcis-1722	82	1	(	(	PUNCT
fcis-1722	82	2	a	a	X
fcis-1722	82	3	)	)	PUNCT
fcis-1722	82	4	traditional	traditional	ADJ
fcis-1722	82	5	ray	ray	NOUN
fcis-1722	82	6	casting	casting	NOUN
fcis-1722	82	7	(	(	PUNCT
fcis-1722	82	8	b	b	NOUN
fcis-1722	82	9	)	)	PUNCT
fcis-1722	82	10	accelerated	accelerate	VERB
fcis-1722	82	11	ray	ray	NOUN
fcis-1722	82	12	casting	cast	VERB
fcis-1722	82	13	figure	figure	NOUN
fcis-1722	82	14	4	4	NUM
fcis-1722	82	15	.	.	PUNCT
fcis-1722	83	1	rendering	render	VERB
fcis-1722	83	2	effect	effect	NOUN
fcis-1722	83	3	comparison	comparison	NOUN
fcis-1722	83	4	aerosol	aerosol	NOUN
fcis-1722	83	5	particles	particle	NOUN
fcis-1722	83	6	have	have	VERB
fcis-1722	83	7	the	the	DET
fcis-1722	83	8	characteristics	characteristic	NOUN
fcis-1722	83	9	of	of	ADP
fcis-1722	83	10	uneven	uneven	ADJ
fcis-1722	83	11	distribution	distribution	NOUN
fcis-1722	83	12	,	,	PUNCT
fcis-1722	83	13	small	small	ADJ
fcis-1722	83	14	variation	variation	NOUN
fcis-1722	83	15	scale	scale	NOUN
fcis-1722	83	16	and	and	CCONJ
fcis-1722	83	17	complexity	complexity	NOUN
fcis-1722	83	18	.	.	PUNCT
fcis-1722	84	1	in	in	ADP
fcis-1722	84	2	this	this	DET
fcis-1722	84	3	paper	paper	NOUN
fcis-1722	84	4	,	,	PUNCT
fcis-1722	84	5	the	the	DET
fcis-1722	84	6	cloud	cloud	NOUN
fcis-1722	84	7	is	be	AUX
fcis-1722	84	8	used	use	VERB
fcis-1722	84	9	as	as	ADP
fcis-1722	84	10	a	a	DET
fcis-1722	84	11	representative	representative	NOUN
fcis-1722	84	12	to	to	PART
fcis-1722	84	13	conduct	conduct	VERB
fcis-1722	84	14	experiments	experiment	NOUN
fcis-1722	84	15	.	.	PUNCT
fcis-1722	85	1	comparing	compare	VERB
fcis-1722	85	2	the	the	DET
fcis-1722	85	3	algorithm	algorithm	NOUN
fcis-1722	85	4	in	in	ADP
fcis-1722	85	5	this	this	DET
fcis-1722	85	6	paper	paper	NOUN
fcis-1722	85	7	with	with	ADP
fcis-1722	85	8	the	the	DET
fcis-1722	85	9	traditional	traditional	ADJ
fcis-1722	85	10	ray	ray	NOUN
fcis-1722	85	11	casting	cast	VERB
fcis-1722	85	12	algorithm	algorithm	NOUN
fcis-1722	85	13	,	,	PUNCT
fcis-1722	85	14	it	it	PRON
fcis-1722	85	15	can	can	AUX
fcis-1722	85	16	be	be	AUX
fcis-1722	85	17	seen	see	VERB
fcis-1722	85	18	that	that	SCONJ
fcis-1722	85	19	under	under	ADP
fcis-1722	85	20	the	the	DET
fcis-1722	85	21	same	same	ADJ
fcis-1722	85	22	cloud	cloud	NOUN
fcis-1722	85	23	data	datum	NOUN
fcis-1722	85	24	.	.	PUNCT
fcis-1722	86	1	compared	compare	VERB
fcis-1722	86	2	with	with	ADP
fcis-1722	86	3	the	the	DET
fcis-1722	86	4	traditional	traditional	ADJ
fcis-1722	86	5	ray	ray	NOUN
fcis-1722	86	6	casting	cast	VERB
fcis-1722	86	7	algorithm	algorithm	NOUN
fcis-1722	86	8	,	,	PUNCT
fcis-1722	86	9	the	the	DET
fcis-1722	86	10	acceleration	acceleration	NOUN
fcis-1722	86	11	algorithm	algorithm	NOUN
fcis-1722	86	12	in	in	ADP
fcis-1722	86	13	this	this	DET
fcis-1722	86	14	paper	paper	NOUN
fcis-1722	86	15	is	be	AUX
fcis-1722	86	16	better	well	ADJ
fcis-1722	86	17	in	in	ADP
fcis-1722	86	18	rendering	rendering	NOUN
fcis-1722	86	19	results	result	NOUN
fcis-1722	86	20	,	,	PUNCT
fcis-1722	86	21	with	with	ADP
fcis-1722	86	22	more	more	ADJ
fcis-1722	86	23	details	detail	NOUN
fcis-1722	86	24	,	,	PUNCT
fcis-1722	86	25	more	more	ADV
fcis-1722	86	26	obvious	obvious	ADJ
fcis-1722	86	27	diffuse	diffuse	ADJ
fcis-1722	86	28	effect	effect	NOUN
fcis-1722	86	29	,	,	PUNCT
fcis-1722	86	30	and	and	CCONJ
fcis-1722	86	31	more	more	ADV
fcis-1722	86	32	obvious	obvious	ADJ
fcis-1722	86	33	distinction	distinction	NOUN
fcis-1722	86	34	between	between	ADP
fcis-1722	86	35	light	light	NOUN
fcis-1722	86	36	and	and	CCONJ
fcis-1722	86	37	dark	dark	ADJ
fcis-1722	86	38	.	.	PUNCT
fcis-1722	87	1	at	at	ADP
fcis-1722	87	2	the	the	DET
fcis-1722	87	3	same	same	ADJ
fcis-1722	87	4	time	time	NOUN
fcis-1722	87	5	,	,	PUNCT
fcis-1722	87	6	the	the	DET
fcis-1722	87	7	acceleration	acceleration	NOUN
fcis-1722	87	8	algorithm	algorithm	NOUN
fcis-1722	87	9	in	in	ADP
fcis-1722	87	10	this	this	DET
fcis-1722	87	11	paper	paper	NOUN
fcis-1722	87	12	has	have	VERB
fcis-1722	87	13	better	well	ADJ
fcis-1722	87	14	performance	performance	NOUN
fcis-1722	87	15	in	in	ADP
fcis-1722	87	16	terms	term	NOUN
fcis-1722	87	17	of	of	ADP
fcis-1722	87	18	accuracy	accuracy	NOUN
fcis-1722	87	19	and	and	CCONJ
fcis-1722	87	20	realism	realism	NOUN
fcis-1722	87	21	.	.	PUNCT
fcis-1722	88	1	6	6	X
fcis-1722	88	2	.	.	X
fcis-1722	88	3	conclusion	conclusion	NOUN
fcis-1722	88	4	in	in	ADP
fcis-1722	88	5	order	order	NOUN
fcis-1722	88	6	to	to	PART
fcis-1722	88	7	solve	solve	VERB
fcis-1722	88	8	the	the	DET
fcis-1722	88	9	shortcomings	shortcoming	NOUN
fcis-1722	88	10	of	of	ADP
fcis-1722	88	11	traditional	traditional	ADJ
fcis-1722	88	12	ray	ray	NOUN
fcis-1722	88	13	-	-	PUNCT
fcis-1722	88	14	casting	cast	VERB
fcis-1722	88	15	algorithm	algorithm	NOUN
fcis-1722	88	16	when	when	SCONJ
fcis-1722	88	17	drawing	draw	VERB
fcis-1722	88	18	aerosol	aerosol	NOUN
fcis-1722	88	19	data	datum	NOUN
fcis-1722	88	20	such	such	ADJ
fcis-1722	88	21	as	as	ADP
fcis-1722	88	22	smoke	smoke	NOUN
fcis-1722	88	23	,	,	PUNCT
fcis-1722	88	24	fog	fog	NOUN
fcis-1722	88	25	and	and	CCONJ
fcis-1722	88	26	dust	dust	NOUN
fcis-1722	88	27	in	in	ADP
fcis-1722	88	28	3d	3d	PROPN
fcis-1722	88	29	scenes	scene	NOUN
fcis-1722	88	30	,	,	PUNCT
fcis-1722	88	31	it	it	PRON
fcis-1722	88	32	has	have	VERB
fcis-1722	88	33	some	some	DET
fcis-1722	88	34	disadvantages	disadvantage	NOUN
fcis-1722	88	35	such	such	ADJ
fcis-1722	88	36	as	as	ADP
fcis-1722	88	37	low	low	ADJ
fcis-1722	88	38	efficiency	efficiency	NOUN
fcis-1722	88	39	,	,	PUNCT
fcis-1722	88	40	slow	slow	ADJ
fcis-1722	88	41	speed	speed	NOUN
fcis-1722	88	42	and	and	CCONJ
fcis-1722	88	43	large	large	ADJ
fcis-1722	88	44	resource	resource	NOUN
fcis-1722	88	45	consumption	consumption	NOUN
fcis-1722	88	46	.	.	PUNCT
fcis-1722	89	1	this	this	DET
fcis-1722	89	2	paper	paper	NOUN
fcis-1722	89	3	proposes	propose	VERB
fcis-1722	89	4	a	a	DET
fcis-1722	89	5	large	large	ADJ
fcis-1722	89	6	-	-	PUNCT
fcis-1722	89	7	scale	scale	NOUN
fcis-1722	89	8	aerosol	aerosol	NOUN
fcis-1722	89	9	visualization	visualization	NOUN
fcis-1722	89	10	method	method	NOUN
fcis-1722	89	11	based	base	VERB
fcis-1722	89	12	on	on	ADP
fcis-1722	89	13	ray	ray	NOUN
fcis-1722	89	14	casting	cast	VERB
fcis-1722	89	15	acceleration	acceleration	NOUN
fcis-1722	89	16	algorithm	algorithm	NOUN
fcis-1722	89	17	,	,	PUNCT
fcis-1722	89	18	optimizes	optimize	VERB
fcis-1722	89	19	resampling	resampling	NOUN
fcis-1722	89	20	,	,	PUNCT
fcis-1722	89	21	performs	perform	VERB
fcis-1722	89	22	hierarchical	hierarchical	ADJ
fcis-1722	89	23	grouping	group	VERB
fcis-1722	89	24	operations	operation	NOUN
fcis-1722	89	25	on	on	ADP
fcis-1722	89	26	the	the	DET
fcis-1722	89	27	sampled	sample	VERB
fcis-1722	89	28	resampling	resampling	NOUN
fcis-1722	89	29	points	point	NOUN
fcis-1722	89	30	,	,	PUNCT
fcis-1722	89	31	and	and	CCONJ
fcis-1722	89	32	uses	use	VERB
fcis-1722	89	33	the	the	DET
fcis-1722	89	34	hierarchical	hierarchical	ADJ
fcis-1722	89	35	bounding	bounding	NOUN
fcis-1722	89	36	box	box	NOUN
fcis-1722	89	37	algorithm	algorithm	NOUN
fcis-1722	89	38	to	to	PART
fcis-1722	89	39	segment	segment	VERB
fcis-1722	89	40	the	the	DET
fcis-1722	89	41	space	space	NOUN
fcis-1722	89	42	,	,	PUNCT
fcis-1722	89	43	and	and	CCONJ
fcis-1722	89	44	then	then	ADV
fcis-1722	89	45	uses	use	VERB
fcis-1722	89	46	empty	empty	ADJ
fcis-1722	89	47	voxels	voxel	NOUN
fcis-1722	89	48	to	to	PART
fcis-1722	89	49	jump	jump	VERB
fcis-1722	89	50	.	.	PUNCT
fcis-1722	90	1	the	the	DET
fcis-1722	90	2	method	method	NOUN
fcis-1722	90	3	culls	cull	VERB
fcis-1722	90	4	empty	empty	ADJ
fcis-1722	90	5	space	space	NOUN
fcis-1722	90	6	and	and	CCONJ
fcis-1722	90	7	invalid	invalid	ADJ
fcis-1722	90	8	voxels	voxel	NOUN
fcis-1722	90	9	,	,	PUNCT
fcis-1722	90	10	avoids	avoid	VERB
fcis-1722	90	11	unnecessary	unnecessary	ADJ
fcis-1722	90	12	space	space	NOUN
fcis-1722	90	13	fragmentation	fragmentation	NOUN
fcis-1722	90	14	,	,	PUNCT
fcis-1722	90	15	reduces	reduce	VERB
fcis-1722	90	16	hardware	hardware	NOUN
fcis-1722	90	17	load	load	NOUN
fcis-1722	90	18	,	,	PUNCT
fcis-1722	90	19	and	and	CCONJ
fcis-1722	90	20	improves	improve	VERB
fcis-1722	90	21	rendering	render	VERB
fcis-1722	90	22	speed	speed	NOUN
fcis-1722	90	23	.	.	PUNCT
fcis-1722	91	1	comparing	compare	VERB
fcis-1722	91	2	the	the	DET
fcis-1722	91	3	algorithm	algorithm	NOUN
fcis-1722	91	4	in	in	ADP
fcis-1722	91	5	this	this	DET
fcis-1722	91	6	paper	paper	NOUN
fcis-1722	91	7	with	with	ADP
fcis-1722	91	8	the	the	DET
fcis-1722	91	9	traditional	traditional	ADJ
fcis-1722	91	10	algorithm	algorithm	NOUN
fcis-1722	91	11	,	,	PUNCT
fcis-1722	91	12	in	in	ADP
fcis-1722	91	13	terms	term	NOUN
fcis-1722	91	14	of	of	ADP
fcis-1722	91	15	rendering	render	VERB
fcis-1722	91	16	speed	speed	NOUN
fcis-1722	91	17	,	,	PUNCT
fcis-1722	91	18	with	with	ADP
fcis-1722	91	19	the	the	DET
fcis-1722	91	20	increase	increase	NOUN
fcis-1722	91	21	of	of	ADP
fcis-1722	91	22	the	the	DET
fcis-1722	91	23	amount	amount	NOUN
fcis-1722	91	24	of	of	ADP
fcis-1722	91	25	data	datum	NOUN
fcis-1722	91	26	,	,	PUNCT
fcis-1722	91	27	the	the	DET
fcis-1722	91	28	advantage	advantage	NOUN
fcis-1722	91	29	of	of	ADP
fcis-1722	91	30	the	the	DET
fcis-1722	91	31	algorithm	algorithm	NOUN
fcis-1722	91	32	in	in	ADP
fcis-1722	91	33	this	this	DET
fcis-1722	91	34	paper	paper	NOUN
fcis-1722	91	35	is	be	AUX
fcis-1722	91	36	also	also	ADV
fcis-1722	91	37	increasing	increase	VERB
fcis-1722	91	38	.	.	PUNCT
fcis-1722	92	1	at	at	ADP
fcis-1722	92	2	the	the	DET
fcis-1722	92	3	same	same	ADJ
fcis-1722	92	4	time	time	NOUN
fcis-1722	92	5	,	,	PUNCT
fcis-1722	92	6	the	the	DET
fcis-1722	92	7	algorithm	algorithm	NOUN
fcis-1722	92	8	in	in	ADP
fcis-1722	92	9	this	this	DET
fcis-1722	92	10	paper	paper	NOUN
fcis-1722	92	11	has	have	VERB
fcis-1722	92	12	better	well	ADJ
fcis-1722	92	13	performance	performance	NOUN
fcis-1722	92	14	in	in	ADP
fcis-1722	92	15	terms	term	NOUN
fcis-1722	92	16	of	of	ADP
fcis-1722	92	17	authenticity	authenticity	NOUN
fcis-1722	92	18	and	and	CCONJ
fcis-1722	92	19	accuracy	accuracy	NOUN
fcis-1722	92	20	.	.	PUNCT
fcis-1722	93	1	the	the	DET
fcis-1722	93	2	experimental	experimental	ADJ
fcis-1722	93	3	results	result	NOUN
fcis-1722	93	4	show	show	VERB
fcis-1722	93	5	that	that	SCONJ
fcis-1722	93	6	the	the	DET
fcis-1722	93	7	algorithm	algorithm	NOUN
fcis-1722	93	8	in	in	ADP
fcis-1722	93	9	this	this	DET
fcis-1722	93	10	paper	paper	NOUN
fcis-1722	93	11	is	be	AUX
fcis-1722	93	12	feasible	feasible	ADJ
fcis-1722	93	13	,	,	PUNCT
fcis-1722	93	14	effective	effective	ADJ
fcis-1722	93	15	and	and	CCONJ
fcis-1722	93	16	stable	stable	ADJ
fcis-1722	93	17	.	.	PUNCT
fcis-1722	94	1	references	reference	NOUN
fcis-1722	94	2	[	[	X
fcis-1722	94	3	1	1	NUM
fcis-1722	94	4	]	]	X
fcis-1722	94	5	pravin	pravin	PROPN
fcis-1722	94	6	p	p	PROPN
fcis-1722	94	7	kalyankar	kalyankar	PROPN
fcis-1722	94	8	,	,	PUNCT
fcis-1722	94	9	s	s	PROPN
fcis-1722	94	10	s	s	PROPN
fcis-1722	94	11	apte	apte	PROPN
fcis-1722	94	12	.	.	PUNCT
fcis-1722	95	1	3d	3d	NUM
fcis-1722	95	2	volume	volume	NOUN
fcis-1722	95	3	rendering	render	VERB
fcis-1722	95	4	algorithm[j	algorithm[j	PROPN
fcis-1722	95	5	]	]	PUNCT
fcis-1722	95	6	.	.	PUNCT
fcis-1722	96	1	international	international	ADJ
fcis-1722	96	2	journal	journal	PROPN
fcis-1722	96	3	of	of	ADP
fcis-1722	96	4	engineering	engineering	NOUN
fcis-1722	96	5	and	and	CCONJ
fcis-1722	96	6	advanced	advanced	ADJ
fcis-1722	96	7	technology	technology	NOUN
fcis-1722	96	8	(	(	PUNCT
fcis-1722	96	9	ijeat),2013,2(5	ijeat),2013,2(5	NOUN
fcis-1722	96	10	)	)	PUNCT
fcis-1722	96	11	.	.	PUNCT
fcis-1722	97	1	[	[	X
fcis-1722	97	2	2	2	X
fcis-1722	97	3	]	]	X
fcis-1722	97	4	hassan	hassan	PROPN
fcis-1722	97	5	a	a	DET
fcis-1722	97	6	h	h	NOUN
fcis-1722	97	7	,	,	PUNCT
fcis-1722	97	8	fluke	fluke	PROPN
fcis-1722	97	9	c	c	PROPN
fcis-1722	97	10	j	j	PROPN
fcis-1722	97	11	,	,	PUNCT
fcis-1722	97	12	barnes	barnes	PROPN
fcis-1722	97	13	dg	dg	PROPN
fcis-1722	97	14	.	.	PUNCT
fcis-1722	98	1	a	a	DET
fcis-1722	98	2	distributed	distribute	VERB
fcis-1722	98	3	gpu	gpu	NOUN
fcis-1722	98	4	-	-	PUNCT
fcis-1722	98	5	based	base	VERB
fcis-1722	98	6	framework	framework	NOUN
fcis-1722	98	7	for	for	ADP
fcis-1722	98	8	real	real	ADJ
fcis-1722	98	9	-	-	PUNCT
fcis-1722	98	10	time	time	NOUN
fcis-1722	98	11	3d	3d	NUM
fcis-1722	98	12	volume	volume	NOUN
fcis-1722	98	13	rendering	rendering	NOUN
fcis-1722	98	14	of	of	ADP
fcis-1722	98	15	large	large	ADJ
fcis-1722	98	16	astronomical	astronomical	ADJ
fcis-1722	98	17	data	datum	NOUN
fcis-1722	98	18	cubes[j	cubes[j	PROPN
fcis-1722	98	19	]	]	PUNCT
fcis-1722	98	20	.	.	PUNCT
fcis-1722	99	1	publications	publication	NOUN
fcis-1722	99	2	of	of	ADP
fcis-1722	99	3	the	the	DET
fcis-1722	99	4	astronomical	astronomical	ADJ
fcis-1722	99	5	society	society	NOUN
fcis-1722	99	6	of	of	ADP
fcis-1722	99	7	australia	australia	PROPN
fcis-1722	99	8	,	,	PUNCT
fcis-1722	99	9	2012	2012	NUM
fcis-1722	99	10	,	,	PUNCT
fcis-1722	99	11	29(3):340	29(3):340	NUM
fcis-1722	99	12	-	-	SYM
fcis-1722	99	13	351	351	NUM
fcis-1722	99	14	.	.	PUNCT
fcis-1722	100	1	[	[	X
fcis-1722	100	2	3	3	X
fcis-1722	100	3	]	]	X
fcis-1722	100	4	johanna	johanna	PROPN
fcis-1722	100	5	,	,	PUNCT
fcis-1722	100	6	beyer	beyer	PROPN
fcis-1722	100	7	,	,	PUNCT
fcis-1722	100	8	markus	markus	PROPN
fcis-1722	100	9	,	,	PUNCT
fcis-1722	100	10	et	et	PROPN
fcis-1722	100	11	al	al	PROPN
fcis-1722	100	12	.	.	PUNCT
fcis-1722	100	13	state	state	PROPN
fcis-1722	100	14	-	-	PUNCT
fcis-1722	100	15	of	of	ADP
fcis-1722	100	16	-	-	PUNCT
fcis-1722	100	17	the	the	DET
fcis-1722	100	18	-	-	PUNCT
fcis-1722	100	19	art	art	NOUN
fcis-1722	100	20	in	in	ADP
fcis-1722	100	21	gpu	gpu	PROPN
fcis-1722	100	22	-	-	PUNCT
fcis-1722	100	23	based	base	VERB
fcis-1722	100	24	large	large	ADJ
fcis-1722	100	25	-	-	PUNCT
fcis-1722	100	26	scale	scale	NOUN
fcis-1722	100	27	volume	volume	NOUN
fcis-1722	100	28	visualization[j	visualization[j	NOUN
fcis-1722	100	29	]	]	PUNCT
fcis-1722	100	30	.	.	PUNCT
fcis-1722	101	1	computer	computer	NOUN
fcis-1722	101	2	graphics	graphics	PROPN
fcis-1722	101	3	forum	forum	PROPN
fcis-1722	101	4	,	,	PUNCT
fcis-1722	101	5	2015	2015	NUM
fcis-1722	101	6	,	,	PUNCT
fcis-1722	101	7	34(8):13	34(8):13	PROPN
fcis-1722	101	8	-	-	SYM
fcis-1722	101	9	37	37	NUM
fcis-1722	101	10	.	.	PUNCT
fcis-1722	102	1	[	[	X
fcis-1722	102	2	4	4	NUM
fcis-1722	102	3	]	]	X
fcis-1722	102	4	bin	bin	PROPN
fcis-1722	102	5	ma	ma	PROPN
fcis-1722	102	6	,	,	PUNCT
fcis-1722	102	7	yaohe	yaohe	PROPN
fcis-1722	102	8	liu	liu	PROPN
fcis-1722	102	9	,	,	PUNCT
fcis-1722	102	10	hyder	hyder	NOUN
fcis-1722	102	11	abbas	abbas	PROPN
fcis-1722	102	12	.	.	PUNCT
fcis-1722	103	1	parallel	parallel	ADJ
fcis-1722	103	2	volume	volume	NOUN
fcis-1722	103	3	rendering	render	VERB
fcis-1722	103	4	algorithm	algorithm	NOUN
fcis-1722	103	5	of	of	ADP
fcis-1722	103	6	volume	volume	NOUN
fcis-1722	103	7	mineralization	mineralization	NOUN
fcis-1722	103	8	model	model	NOUN
fcis-1722	103	9	based	base	VERB
fcis-1722	103	10	on	on	ADP
fcis-1722	103	11	gpu[j	gpu[j	PROPN
fcis-1722	103	12	]	]	PUNCT
fcis-1722	103	13	.	.	PUNCT
fcis-1722	104	1	international	international	ADJ
fcis-1722	104	2	journal	journal	NOUN
fcis-1722	104	3	of	of	ADP
fcis-1722	104	4	performability	performability	NOUN
fcis-1722	104	5	engineering,2018,14(8	engineering,2018,14(8	NOUN
fcis-1722	104	6	)	)	PUNCT
fcis-1722	104	7	.	.	PUNCT
fcis-1722	105	1	[	[	X
fcis-1722	105	2	5	5	NUM
fcis-1722	105	3	]	]	PUNCT
fcis-1722	105	4	takanashi	takanashi	PROPN
fcis-1722	105	5	,	,	PUNCT
fcis-1722	105	6	i.	i.	PROPN
fcis-1722	105	7	,	,	PUNCT
fcis-1722	105	8	lum	lum	PROPN
fcis-1722	105	9	,	,	PUNCT
fcis-1722	105	10	e.	e.	PROPN
fcis-1722	105	11	b.	b.	PROPN
fcis-1722	105	12	,	,	PUNCT
fcis-1722	105	13	ma	ma	PROPN
fcis-1722	105	14	,	,	PUNCT
fcis-1722	105	15	k.	k.	PROPN
fcis-1722	105	16	l.	l.	PROPN
fcis-1722	105	17	,	,	PUNCT
fcis-1722	105	18	&	&	CCONJ
fcis-1722	105	19	muraki	muraki	PROPN
fcis-1722	105	20	,	,	PUNCT
fcis-1722	105	21	s.	s.	PROPN
fcis-1722	105	22	(	(	PUNCT
fcis-1722	105	23	2002	2002	NUM
fcis-1722	105	24	)	)	PUNCT
fcis-1722	105	25	.	.	PUNCT
fcis-1722	106	1	ispace	ispace	PROPN
fcis-1722	106	2	:	:	PUNCT
fcis-1722	106	3	interactive	interactive	ADJ
fcis-1722	106	4	volume	volume	NOUN
fcis-1722	106	5	data	data	NOUN
fcis-1722	106	6	classification	classification	NOUN
fcis-1722	106	7	techniques	technique	NOUN
fcis-1722	106	8	using	use	VERB
fcis-1722	106	9	independent	independent	ADJ
fcis-1722	106	10	component	component	NOUN
fcis-1722	106	11	analysis	analysis	NOUN
fcis-1722	106	12	.	.	PUNCT
fcis-1722	107	1	pacific	pacific	ADJ
fcis-1722	107	2	conference	conference	PROPN
fcis-1722	107	3	on	on	ADP
fcis-1722	107	4	computer	computer	NOUN
fcis-1722	107	5	graphics	graphic	NOUN
fcis-1722	107	6	and	and	CCONJ
fcis-1722	107	7	applications	application	NOUN
fcis-1722	107	8	.	.	PUNCT
fcis-1722	108	1	ieee	ieee	NOUN
fcis-1722	108	2	computer	computer	NOUN
fcis-1722	108	3	society	society	NOUN
fcis-1722	108	4	.	.	PUNCT
fcis-1722	109	1	[	[	X
fcis-1722	109	2	6	6	NUM
fcis-1722	109	3	]	]	X
fcis-1722	109	4	lachlan	lachlan	PROPN
fcis-1722	109	5	j.deakin	j.deakin	PROPN
fcis-1722	109	6	,	,	PUNCT
fcis-1722	109	7	mark	mark	VERB
fcis-1722	109	8	a.knackstedt.efficient	a.knackstedt.efficient	PROPN
fcis-1722	109	9	ray	ray	NOUN
fcis-1722	109	10	casting	casting	NOUN
fcis-1722	109	11	of	of	ADP
fcis-1722	109	12	volumetric	volumetric	NOUN
fcis-1722	109	13	images	image	NOUN
fcis-1722	109	14	using	use	VERB
fcis-1722	109	15	distance	distance	NOUN
fcis-1722	109	16	maps	map	NOUN
fcis-1722	109	17	for	for	ADP
fcis-1722	109	18	empty	empty	ADJ
fcis-1722	109	19	space	space	NOUN
fcis-1722	109	20	skipping[j].computational	skipping[j].computational	ADJ
fcis-1722	109	21	visual	visual	ADJ
fcis-1722	109	22	media,2020,6(01):53	media,2020,6(01):53	PROPN
fcis-1722	109	23	-	-	SYM
fcis-1722	109	24	63	63	NUM
fcis-1722	109	25	.	.	PUNCT
fcis-1722	110	1	[	[	X
fcis-1722	110	2	7	7	X
fcis-1722	110	3	]	]	X
fcis-1722	110	4	liu	liu	PROPN
fcis-1722	110	5	baoquan	baoquan	PROPN
fcis-1722	110	6	,	,	PUNCT
fcis-1722	110	7	clapworthy	clapworthy	PROPN
fcis-1722	110	8	gordon	gordon	PROPN
fcis-1722	110	9	j	j	PROPN
fcis-1722	110	10	,	,	PUNCT
fcis-1722	110	11	dong	dong	PROPN
fcis-1722	110	12	feng	feng	PROPN
fcis-1722	110	13	,	,	PUNCT
fcis-1722	110	14	prakash	prakash	PROPN
fcis-1722	110	15	edmond	edmond	PROPN
fcis-1722	110	16	c.	c.	PROPN
fcis-1722	110	17	octree	octree	PROPN
fcis-1722	110	18	rasterization	rasterization	PROPN
fcis-1722	110	19	:	:	PUNCT
fcis-1722	110	20	accelerating	accelerate	VERB
fcis-1722	110	21	high	high	ADJ
fcis-1722	110	22	-	-	PUNCT
fcis-1722	110	23	quality	quality	NOUN
fcis-1722	110	24	outof	outof	PROPN
fcis-1722	110	25	-	-	PUNCT
fcis-1722	110	26	core	core	NOUN
fcis-1722	110	27	gpu	gpu	NOUN
fcis-1722	110	28	volume	volume	NOUN
fcis-1722	110	29	rendering.[j	rendering.[j	PROPN
fcis-1722	110	30	]	]	PUNCT
fcis-1722	110	31	.	.	PUNCT
fcis-1722	111	1	ieee	ieee	NOUN
fcis-1722	111	2	transactions	transaction	NOUN
fcis-1722	111	3	on	on	ADP
fcis-1722	111	4	bernhard	bernhard	PROPN
fcis-1722	111	5	finkbeiner	finkbeiner	NOUN
fcis-1722	111	6	,	,	PUNCT
fcis-1722	111	7	alireza	alireza	PROPN
fcis-1722	111	8	entezari	entezari	NOUN
fcis-1722	111	9	,	,	PUNCT
fcis-1722	111	10	dimitri	dimitri	PROPN
fcis-1722	111	11	van	van	PROPN
fcis-1722	111	12	de	de	X
fcis-1722	111	13	ville	ville	PROPN
fcis-1722	111	14	,	,	PUNCT
fcis-1722	111	15	torsten	torsten	PROPN
fcis-1722	111	16	möller	möller	NOUN
fcis-1722	111	17	.	.	PUNCT
fcis-1722	112	1	efficient	efficient	ADJ
fcis-1722	112	2	volume	volume	NOUN
fcis-1722	112	3	rendering	render	VERB
fcis-1722	112	4	on	on	ADP
fcis-1722	112	5	the	the	DET
fcis-1722	112	6	body	body	NOUN
fcis-1722	112	7	centered	center	VERB
fcis-1722	112	8	cubic	cubic	ADJ
fcis-1722	112	9	lattice	lattice	NOUN
fcis-1722	112	10	using	use	VERB
fcis-1722	112	11	box	box	PROPN
fcis-1722	112	12	splines[j	splines[j	PROPN
fcis-1722	112	13	]	]	PUNCT
fcis-1722	112	14	.	.	PUNCT
fcis-1722	113	1	computers	computer	NOUN
fcis-1722	113	2	&	&	CCONJ
fcis-1722	113	3	amp	amp	PROPN
fcis-1722	113	4	;	;	PUNCT
fcis-1722	113	5	graphics,2010,34(4	graphics,2010,34(4	NOUN
fcis-1722	113	6	)	)	PUNCT
fcis-1722	113	7	.	.	PUNCT
fcis-1722	114	1	[	[	X
fcis-1722	114	2	8	8	NUM
fcis-1722	114	3	]	]	X
fcis-1722	114	4	zellmann	zellmann	PROPN
fcis-1722	114	5	s	s	PART
fcis-1722	114	6	,	,	PUNCT
fcis-1722	114	7	schulze	schulze	PROPN
fcis-1722	114	8	j	j	PROPN
fcis-1722	114	9	,	,	PUNCT
fcis-1722	114	10	lang	lang	PROPN
fcis-1722	114	11	u	u	PROPN
fcis-1722	114	12	.	.	PUNCT
fcis-1722	114	13	binned	bin	VERB
fcis-1722	114	14	k	k	PROPN
fcis-1722	114	15	-	-	PROPN
fcis-1722	114	16	d	d	ADJ
fcis-1722	114	17	tree	tree	NOUN
fcis-1722	114	18	construction	construction	NOUN
fcis-1722	114	19	for	for	ADP
fcis-1722	114	20	sparse	sparse	ADJ
fcis-1722	114	21	volume	volume	NOUN
fcis-1722	114	22	data	datum	NOUN
fcis-1722	114	23	on	on	ADP
fcis-1722	114	24	multi	multi	ADJ
fcis-1722	114	25	-	-	ADJ
fcis-1722	114	26	core	core	ADJ
fcis-1722	114	27	and	and	CCONJ
fcis-1722	114	28	gpu	gpu	NOUN
fcis-1722	114	29	systems[j	systems[j	PROPN
fcis-1722	114	30	]	]	PUNCT
fcis-1722	114	31	.	.	PUNCT
fcis-1722	115	1	ieee	ieee	NOUN
fcis-1722	115	2	transactions	transaction	NOUN
fcis-1722	115	3	on	on	ADP
fcis-1722	115	4	visualization	visualization	NOUN
fcis-1722	115	5	and	and	CCONJ
fcis-1722	115	6	computer	computer	NOUN
fcis-1722	115	7	graphics	graphic	NOUN
fcis-1722	115	8	,	,	PUNCT
fcis-1722	115	9	2021	2021	NUM
fcis-1722	115	10	,	,	PUNCT
fcis-1722	115	11	27(3):1904	27(3):1904	NUM
fcis-1722	115	12	-	-	SYM
fcis-1722	115	13	1915	1915	NUM
fcis-1722	115	14	.	.	PUNCT
fcis-1722	116	1	[	[	X
fcis-1722	116	2	9	9	NUM
fcis-1722	116	3	]	]	SYM
fcis-1722	116	4	levoy	levoy	PROPN
fcis-1722	116	5	m	m	PROPN
fcis-1722	116	6	.	.	PUNCT
fcis-1722	117	1	display	display	NOUN
fcis-1722	117	2	of	of	ADP
fcis-1722	117	3	surfaces	surface	NOUN
fcis-1722	117	4	from	from	ADP
fcis-1722	117	5	volume	volume	NOUN
fcis-1722	117	6	data[m	data[m	NOUN
fcis-1722	117	7	]	]	PUNCT
fcis-1722	117	8	.	.	PUNCT
fcis-1722	118	1	ieee	ieee	PROPN
fcis-1722	118	2	computer	computer	PROPN
fcis-1722	118	3	society	society	PROPN
fcis-1722	118	4	press	press	NOUN
fcis-1722	118	5	,	,	PUNCT
fcis-1722	118	6	1988	1988	NUM
fcis-1722	118	7	.	.	PUNCT
fcis-1722	119	1	[	[	X
fcis-1722	119	2	10	10	NUM
fcis-1722	119	3	]	]	X
fcis-1722	119	4	francisco	francisco	PROPN
fcis-1722	119	5	sans	sans	PROPN
fcis-1722	119	6	,	,	PUNCT
fcis-1722	119	7	rhadamés	rhadamés	PROPN
fcis-1722	119	8	carmona	carmona	PROPN
fcis-1722	119	9	.	.	PUNCT
fcis-1722	120	1	a	a	DET
fcis-1722	120	2	comparison	comparison	NOUN
fcis-1722	120	3	between	between	ADP
fcis-1722	120	4	gpu	gpu	NOUN
fcis-1722	120	5	-	-	PUNCT
fcis-1722	120	6	based	base	VERB
fcis-1722	120	7	volume	volume	NOUN
fcis-1722	120	8	ray	ray	NOUN
fcis-1722	120	9	casting	casting	NOUN
fcis-1722	120	10	implementations	implementation	NOUN
fcis-1722	120	11	:	:	PUNCT
fcis-1722	120	12	fragment	fragment	ADJ
fcis-1722	120	13	shader	shader	NOUN
fcis-1722	120	14	,	,	PUNCT
fcis-1722	120	15	compute	compute	NOUN
fcis-1722	120	16	shader	shader	NOUN
fcis-1722	120	17	,	,	PUNCT
fcis-1722	120	18	opencl	opencl	NOUN
fcis-1722	120	19	,	,	PUNCT
fcis-1722	120	20	and	and	CCONJ
fcis-1722	120	21	cuda[j	cuda[j	NOUN
fcis-1722	120	22	]	]	PUNCT
fcis-1722	120	23	.	.	PUNCT
fcis-1722	121	1	clei	clei	PROPN
fcis-1722	121	2	electronic	electronic	ADJ
fcis-1722	121	3	journal,2017,20(2	journal,2017,20(2	ADV
fcis-1722	121	4	)	)	PUNCT
fcis-1722	121	5	.	.	PUNCT
fcis-1722	122	1	[	[	X
fcis-1722	122	2	11	11	NUM
fcis-1722	122	3	]	]	X
fcis-1722	122	4	foley	foley	PROPN
fcis-1722	122	5	t	t	PROPN
fcis-1722	122	6	,	,	PUNCT
fcis-1722	122	7	sugerman	sugerman	PROPN
fcis-1722	122	8	j	j	PROPN
fcis-1722	122	9	.	.	PUNCT
fcis-1722	122	10	graphics	graphic	NOUN
fcis-1722	122	11	hardware	hardware	NOUN
fcis-1722	122	12	(	(	PUNCT
fcis-1722	122	13	2005	2005	NUM
fcis-1722	122	14	)	)	PUNCT
fcis-1722	122	15	m.	m.	NOUN
fcis-1722	122	16	meissner	meissner	PROPN
fcis-1722	122	17	,	,	PUNCT
fcis-1722	122	18	b.o	b.o	PROPN
fcis-1722	122	19	.	.	PROPN
fcis-1722	122	20	schneider	schneider	PROPN
fcis-1722	122	21	(	(	PUNCT
fcis-1722	122	22	editors	editor	NOUN
fcis-1722	122	23	)	)	PUNCT
fcis-1722	122	24	kd	kd	NOUN
fcis-1722	122	25	-	-	PUNCT
fcis-1722	122	26	tree	tree	NOUN
fcis-1722	122	27	acceleration	acceleration	NOUN
fcis-1722	122	28	structures	structure	NOUN
fcis-1722	122	29	for	for	ADP
fcis-1722	122	30	a	a	DET
fcis-1722	122	31	gpu	gpu	NOUN
fcis-1722	122	32	raytracer	raytracer	NOUN
fcis-1722	122	33	.	.	PUNCT
fcis-1722	123	1	2008	2008	NUM
fcis-1722	123	2	.	.	PUNCT
fcis-1722	124	1	[	[	X
fcis-1722	124	2	12	12	NUM
fcis-1722	124	3	]	]	X
fcis-1722	124	4	li	li	PROPN
fcis-1722	124	5	t	t	PROPN
fcis-1722	124	6	,	,	PUNCT
fcis-1722	124	7	wang	wang	PROPN
fcis-1722	124	8	s	s	PROPN
fcis-1722	124	9	,	,	PUNCT
fcis-1722	124	10	cheng	cheng	PROPN
fcis-1722	124	11	h	h	PROPN
fcis-1722	124	12	,	,	PUNCT
fcis-1722	124	13	et	et	PROPN
fcis-1722	124	14	al	al	PROPN
fcis-1722	124	15	.	.	PUNCT
fcis-1722	124	16	integral	integral	ADJ
fcis-1722	124	17	image	image	NOUN
fcis-1722	124	18	generation	generation	NOUN
fcis-1722	124	19	based	base	VERB
fcis-1722	124	20	on	on	ADP
fcis-1722	124	21	improved	improve	VERB
fcis-1722	124	22	bvh	bvh	NOUN
fcis-1722	124	23	ray	ray	NOUN
fcis-1722	124	24	tracing[m	tracing[m	NOUN
fcis-1722	124	25	]	]	PUNCT
fcis-1722	124	26	.	.	PUNCT
fcis-1722	125	1	2021	2021	NUM