Gabor Ordinal Measures for Face Recognition

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	Gabor Ordinal Measures for Face Recognition
	Chai, Zhenhua 1; Sun, Zhenan 1; Mendez-Vazquez, Heydi 2; He, Ran 1; Tan, Tieniu 1; Ran He(赫然); Zhenan Sun; Tieniu Tan
刊名	IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
	2014
卷号	9 期号:1 页码:14-26
关键词	Biometrics face recognition feature extraction ordinal measures Gabor filters
英文摘要	Great progress has been achieved in face recognition in the last three decades. However, it is still challenging to characterize the identity related features in face images. This paper proposes a novel facial feature extraction method named Gabor ordinal measures (GOM), which integrates the distinctiveness of Gabor features and the robustness of ordinal measures as a promising solution to jointly handle inter-person similarity and intra-person variations in face images. In the proposal, different kinds of ordinal measures are derived from magnitude, phase, real, and imaginary components of Gabor images, respectively, and then are jointly encoded as visual primitives in local regions. The statistical distributions of these visual primitives in face image blocks are concatenated into a feature vector and linear discriminant analysis is further used to obtain a compact and discriminative feature representation. Finally, a two-stage cascade learning method and a greedy block selection method are used to train a strong classifier for face recognition. Extensive experiments on publicly available face image databases, such as FERET, AR, and large scale FRGC v2.0, demonstrate state-of-the-art face recognition performance of GOM.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
研究领域[WOS]	Computer Science ; Engineering
关键词[WOS]	LOCAL BINARY PATTERNS ; FEATURE-SELECTION ; GRAND CHALLENGE ; FEATURE SETS ; FEATURES ; MODEL ; SCALE ; CLASSIFICATION ; REPRESENTATION ; INFORMATION
收录类别	SCI
语种	英语
WOS记录号	WOS:000332456600002
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3795]
专题	自动化研究所_智能感知与计算研究中心
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Ctr Res Intelligent Percept & Comp, Beijing 100190, Peoples R China 2.Adv Technol Applicat Ctr, Havana 12200, Cuba
推荐引用方式 GB/T 7714	Chai, Zhenhua,Sun, Zhenan,Mendez-Vazquez, Heydi,et al. Gabor Ordinal Measures for Face Recognition[J]. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,2014,9(1):14-26.
APA	Chai, Zhenhua.,Sun, Zhenan.,Mendez-Vazquez, Heydi.,He, Ran.,Tan, Tieniu.,...&Tieniu Tan.(2014).Gabor Ordinal Measures for Face Recognition.IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,9(1),14-26.
MLA	Chai, Zhenhua,et al."Gabor Ordinal Measures for Face Recognition".IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 9.1(2014):14-26.