Automatic 3D face recognition from depth and intensity Gabor features

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	Automatic 3D face recognition from depth and intensity Gabor features
	Xu, Chenghua 1; Li, Stan1 ; Tan, Tieniu1 ; Quan, Long 2
刊名	PATTERN RECOGNITION
	2009-09-01
卷号	42 期号:9 页码:1895-1905
关键词	3D face recognition Feature sampling Depth Gabor images Feature selection Fusion
英文摘要	As is well known, traditional 2D face recognition based on optical (intensity or color) images faces many challenges, such as illumination, expression, and pose variation. In fact, the human face generates not only 2D texture information but also 3D shape information. In this paper, we investigate what contributions depth and intensity information makes to face recognition when expression and pose variations are taken into account, and we propose a novel system for combining depth and intensity information to improve face recognition systems. In our system, local features described by Gabor wavelets are extracted from depth and intensity images, which are obtained from 3D data after fine alignment. Then a novel hierarchical selecting scheme embedded in linear discriminant analysis (LDA) and AdaBoost learning is proposed to select the most effective and most robust features and to construct a strong classifier. Experiments are performed on the CASIA 3D face database and the FRGC V2.0 database, two data sets with complex variations, including expressions, poses and long time lapses between two scans. Experimental results demonstrate the promising performance of the proposed method. In our system, all processes are performed automatically, thus providing a prototype of automatic face recognition combining depth and intensity information. (C) 2009 Elsevier Ltd. All rights reserved.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]	Computer Science ; Engineering
关键词[WOS]	IMAGES ; AUTHENTICATION ; EIGENFACES ; EXPRESSION ; MODEL ; 2D
收录类别	SCI
语种	英语
WOS记录号	WOS:000267089000018
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3768]
专题	自动化研究所_智能感知与计算研究中心
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China 2.Hong Kong Univ Sci & Technol, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China
推荐引用方式 GB/T 7714	Xu, Chenghua,Li, Stan,Tan, Tieniu,et al. Automatic 3D face recognition from depth and intensity Gabor features[J]. PATTERN RECOGNITION,2009,42(9):1895-1905.
APA	Xu, Chenghua,Li, Stan,Tan, Tieniu,&Quan, Long.(2009).Automatic 3D face recognition from depth and intensity Gabor features.PATTERN RECOGNITION,42(9),1895-1905.
MLA	Xu, Chenghua,et al."Automatic 3D face recognition from depth and intensity Gabor features".PATTERN RECOGNITION 42.9(2009):1895-1905.