Face recognition via Weighted Sparse Representation

doi:10.1016/j.jvcir.2012.05.003

	Face recognition via Weighted Sparse Representation
	Lu, Can-Yi 1,2; Min, Hai 1,2; Gui, Jie 1; Zhu, Lin 1,2; Lei, Ying-Ke 3
	2013-02-01
发表期刊	JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
摘要	Face recognition using Sparse Representation based Classification (SRC) is a new hot technique in recent years. SRC can be regarded as a generalization of Nearest Neighbor and Nearest Feature Subspace. This paper first reviews the Nearest Feature Classifiers (NFCs), including Nearest Neighbor (NN), Nearest Feature Line (NFL), Nearest Feature Plane (NFP) and Nearest Feature Subspace (NFS), and formulates them as general optimization problems, which provides a new perspective for understanding NFCs and SRC. Then a locality Weighted Sparse Representation based Classification (WSRC) method is proposed. WSRC utilizes both data locality and linearity; it can be regarded as extensions of SRC, but the coding is local. Experimental results on the Extended Yale B, AR databases and several data sets from the UCI repository show that WSRC is more effective than SRC. Crown Copyright (C) 2012 Published by Elsevier Inc. All rights reserved.
文章类型	Article
关键词	Face Recognition Weighted Sparse Representation Nearest Feature Classifiers Locality Linearity Sparse Representation Classification Local Representation
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.jvcir.2012.05.003
关键词[WOS]	CLASSIFICATION
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号	WOS:000314859000004
引用统计	被引频次：185[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/22201
专题	中科院合肥智能机械研究所
作者单位	1.Chinese Acad Sci, Hefei Inst Intelligent Machines, Hefei, Peoples R China 2.Univ Sci & Technol China, Dept Automat, Hefei 230026, Peoples R China 3.Inst Elect Engn, Hefei, Peoples R China
推荐引用方式 GB/T 7714	Lu, Can-Yi,Min, Hai,Gui, Jie,et al. Face recognition via Weighted Sparse Representation[J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,2013,24(2):111-116.
APA	Lu, Can-Yi,Min, Hai,Gui, Jie,Zhu, Lin,&Lei, Ying-Ke.(2013).Face recognition via Weighted Sparse Representation.JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,24(2),111-116.
MLA	Lu, Can-Yi,et al."Face recognition via Weighted Sparse Representation".JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 24.2(2013):111-116.