Learned local Gabor patterns for face representation and recognition

doi:10.1016/j.sigpro.2009.02.016

	Learned local Gabor patterns for face representation and recognition
	Xie, Shufu 1,2; Shan, Shiguang 1; Chen, Xilin 1; Meng, Xin 3; Gao, Wen 1,4
	2009-12-01
发表期刊	SIGNAL PROCESSING
ISSN	0165-1684
卷号	89 期号:12 页码:2333-2344
摘要	In this paper, we propose Learned Local Gabor Patterns (LLGP) for face representation and recognition. The proposed method is based on Gabor feature and the concept of texton, and defines the feature cliques which appear frequently in Gabor features as the basic patterns. Different from Local Binary Patterns (LBP) whose patterns are predefined, the local patterns in our approach are learned from the patch set, which is constructed by sampling patches from Gabor filtered face images. Thus, the patterns in our approach are face-specific and desirable for face perception tasks. Based on these learned patterns, each facial image is converted into multiple pattern maps and the block-based histograms of these patterns are concatenated together to form the representation of the face image. In addition, we propose an effective weighting strategy to enhance the performances, which makes use of the discriminative powers of different facial parts as well as different patterns. The proposed approach is evaluated on two face databases: FERET and CAS-PEAL-RI. Extensive experimental results and comparisons with existing methods show the effectiveness of the LLGP representation method and the weighting strategy. Especially, heterogeneous testing results show that the LLGP codebook has very impressive generalizability for unseen data. (C) 2009 Elsevier B.V. All rights reserved.
关键词	Gabor wavelet Local patterns Histogram Weighting strategy
DOI	10.1016/j.sigpro.2009.02.016
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[60772071] ; National Natural Science Foundation of China[60728203] ; National Natural Science Foundation of China[60833013] ; Hi-Tech Research and Development Program of China[2007AA01Z163] ; National Basic Research Program of China (973 Program)[2009CB320902] ; DOD Counterdrug Technology Development Program Office
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000269289400004
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：71[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/11834
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Shan, Shiguang
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100190, Peoples R China 3.NEC China Co Ltd, Beijing 100084, Peoples R China 4.Peking Univ, Inst Digital Media, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Xie, Shufu,Shan, Shiguang,Chen, Xilin,et al. Learned local Gabor patterns for face representation and recognition[J]. SIGNAL PROCESSING,2009,89(12):2333-2344.
APA	Xie, Shufu,Shan, Shiguang,Chen, Xilin,Meng, Xin,&Gao, Wen.(2009).Learned local Gabor patterns for face representation and recognition.SIGNAL PROCESSING,89(12),2333-2344.
MLA	Xie, Shufu,et al."Learned local Gabor patterns for face representation and recognition".SIGNAL PROCESSING 89.12(2009):2333-2344.