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
发表期刊	PATTERN RECOGNITION
	2009-09-01
卷号	42 期号:9 页码:1895-1905
文章类型	Article
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.
关键词	3d Face Recognition Feature Sampling Depth Gabor Images Feature Selection Fusion
WOS标题词	Science & Technology ; Technology
关键词[WOS]	IMAGES ; AUTHENTICATION ; EIGENFACES ; EXPRESSION ; MODEL ; 2D
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000267089000018
引用统计	被引频次：79[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3768
专题	模式识别实验室
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
第一作者单位	模式识别国家重点实验室
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.