Learned local Gabor patterns for face representation and recognition

doi:10.1016/j.sigpro.2009.02.016

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	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
刊名	SIGNAL PROCESSING
	2009-12-01
卷号	89 期号:12 页码:2333-2344
关键词	Gabor wavelet Local patterns Histogram Weighting strategy
ISSN号	0165-1684
DOI	10.1016/j.sigpro.2009.02.016
英文摘要	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.
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
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000269289400004
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/11833]
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.