Biview face recognition in the shape-texture domain

doi:10.1016/j.patcog.2012.12.009

OPT OpenIR > 光谱成像技术研究室

	Biview face recognition in the shape-texture domain
	Xiao, Bing 1,2; Gao, Xinbo 1; Tao, Dacheng3 ; Li, Xuelong4
	2013-07-01
发表期刊	PATTERN RECOGNITION
卷号	46 期号:7 页码:1906-1919
摘要	Face recognition is one of the biometric identification methods with the highest potential. The existing face recognition algorithms relying on the texture information of face images are affected greatly by the variation of expression, scale and illumination. Whereas the algorithms based on the shape topology weaken the influence of illumination to some extent, but the impact of expression, scale and illumination on face recognition is still unsolved. To this end, we propose a new method for face recognition by integrating texture information with shape information, called biview face recognition algorithm. The texture models are constructed by using subspace learning methods and shape topologies are formed by building graphs for face images. The proposed biview face recognition method is compared with recognition algorithms merely based on texture or shape information. Experimental results of recognizing faces under the variation of illumination, expression and scale demonstrate that the performance of the proposed biview face recognition outperforms texture-based and shape-based algorithms. (C) 2012 Elsevier Ltd. All rights reserved.
文章类型	Article
关键词	Face Recognition Texture Model Shape Topology Graph Edit Distance Active Appearance Model
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.patcog.2012.12.009
收录类别	SCI ; EI
关键词[WOS]	GRAPH EDIT DISTANCE ; TENSOR DISCRIMINANT-ANALYSIS ; ACTIVE APPEARANCE MODELS ; SUBSPACE SELECTION ; COMPONENT ANALYSIS ; PROJECTIONS ; EIGENFACES ; ALGORITHMS
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:000317886600017
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/23484
专题	光谱成像技术研究室
作者单位	1.Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China 2.Shaanxi Normal Univ, Sch Comp Sci, Xian 710062, Peoples R China 3.Univ Technol Sydney, Fac Engn & Informat Technol, Ctr Quantum Computat & Intelligent Syst, Ultimo, NSW 2007, Australia 4.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Xiao, Bing,Gao, Xinbo,Tao, Dacheng,et al. Biview face recognition in the shape-texture domain[J]. PATTERN RECOGNITION,2013,46(7):1906-1919.
APA	Xiao, Bing,Gao, Xinbo,Tao, Dacheng,&Li, Xuelong.(2013).Biview face recognition in the shape-texture domain.PATTERN RECOGNITION,46(7),1906-1919.
MLA	Xiao, Bing,et al."Biview face recognition in the shape-texture domain".PATTERN RECOGNITION 46.7(2013):1906-1919.

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Biview face recognit（3394KB）	期刊论文	出版稿	限制开放	CC BY	请求全文