id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-3883	Ma, Thi Chau ; Nguyen, Dang Ha 	VN3DFace: 3D facial expression database of Vietnamese	2025	15	.pdf	application/pdf	7057	367	47	Introduction In contemporary research across diverse fields such as computer vision, biometrics, facial recognition, and virtual reality, the importance of 3D face model datasets cannot be overstated. One of the primary benefits of 3D face models is their ability to capture the intricate three-dimensional geometry of the human face, providing a more comprehensive representation compared to traditional 2D images.	cache/easat-3883.pdf	txt/easat-3883.txt