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

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 生物识别与安全技术

	Face Recognition by Exploring Information Jointly in Space, Scale and Orientation
	Lei, Zhen1,2 ; Liao, Shengcai1,2 ; Pietikainen, Matti 3; Li, Stan Z.1,2
发表期刊	IEEE TRANSACTIONS ON IMAGE PROCESSING
	2011
卷号	20 期号:1 页码:247-256
文章类型	Article
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.
关键词	Conditional Mutual Information (Cmi) Face Recognition Gabor Volume Based Local Binary Pattern (Gv-lbp) Gabor Volume Representation Local Binary Pattern (Lbp)
WOS标题词	Science & Technology ; Technology
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研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000285514800021
引用统计	被引频次：117[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/9741
专题	多模态人工智能系统全国重点实验室_生物识别与安全技术
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
第一作者单位	模式识别国家重点实验室
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.