Biview face recognition in the shape-texture domain

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Biview face recognition in the shape-texture domain
	Xiao, Bing 1,2; Gao, Xinbo 1; Tao, Dacheng3 ; Li, Xuelong4
刊名	pattern recognition
	2013-07-01
卷号	46 期号:7 页码:1906-1919
关键词	Face recognition Texture model Shape topology Graph edit distance Active appearance model
英文摘要	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.
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]	graph edit distance ; tensor discriminant-analysis ; active appearance models ; subspace selection ; component analysis ; projections ; eigenfaces ; algorithms
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000317886600017
公开日期	2015-06-30
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/23484]
专题	西安光学精密机械研究所_光学影像学习与分析中心
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.