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Face Recognition by Exploring Information Jointly in Space, Scale and Orientation

文献类型：期刊论文

作者Lei, Zhen1,2; Liao, Shengcai1,2; Pietikainen, Matti3; Li, Stan Z.1,2
刊名IEEE TRANSACTIONS ON IMAGE PROCESSING
出版日期2011
卷号20期号:1页码:247-256
关键词Conditional mutual information (CMI) face recognition Gabor volume based local binary pattern (GV-LBP) Gabor volume representation local binary pattern (LBP)
英文摘要Information jointly contained in image space, scale and orientation domains can provide rich important clues not seen in either individual of these domains. The position, spatial frequency and orientation selectivity properties are believed to have an important role in visual perception. This paper proposes a novel face representation and recognition approach by exploring information jointly in image space, scale and orientation domains. Specifically, the face image is first decomposed into different scale and orientation responses by convolving multiscale and multi-orientation Gabor filters. Second, local binary pattern analysis is used to describe the neighboring relationship not only in image space, but also in different scale and orientation responses. This way, information from different domains is explored to give a good face representation for recognition. Discriminant classification is then performed based upon weighted histogram intersection or conditional mutual information with linear discriminant analysis techniques. Extensive experimental results on FERET, AR, and FRGC ver 2.0 databases show the significant advantages of the proposed method over the existing ones.
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]NONLINEAR DIMENSIONALITY REDUCTION ; LOCAL BINARY PATTERNS ; COMPONENT ANALYSIS ; GRAND CHALLENGE ; FRAMEWORK ; REPRESENTATION ; HISTOGRAM ; MODEL
收录类别SCI
语种英语
WOS记录号WOS:000285514800021
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9741]  
专题自动化研究所_模式识别国家重点实验室_生物识别与安全技术研究中心
作者单位1.Chinese Acad Sci, Ctr Biometr & Secur Res, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
3.Univ Oulu, Machine Vis Grp, FI-90014 Oulu, Finland
推荐引用方式
GB/T 7714		 Lei, Zhen,Liao, Shengcai,Pietikainen, Matti,et al. Face Recognition by Exploring Information Jointly in Space, Scale and Orientation[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2011,20(1):247-256.
APA Lei, Zhen,Liao, Shengcai,Pietikainen, Matti,&Li, Stan Z..(2011).Face Recognition by Exploring Information Jointly in Space, Scale and Orientation.IEEE TRANSACTIONS ON IMAGE PROCESSING,20(1),247-256.
MLA Lei, Zhen,et al."Face Recognition by Exploring Information Jointly in Space, Scale and Orientation".IEEE TRANSACTIONS ON IMAGE PROCESSING 20.1(2011):247-256.

入库方式： OAI收割

来源：自动化研究所

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