Explore Semantic Pixel Sets based Local Patterns with Information Entropy for Face Recognition

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	Explore Semantic Pixel Sets based Local Patterns with Information Entropy for Face Recognition
	Zhenhua Chai 1; Heydi Mendez-Vazquez 1,2; Ran He(赫然)1 ; Zhenan Sun1 ; Tieniu Tan1
发表期刊	EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING
	2014-05-06
期号	1 页码:14-26
文章类型	Article
摘要	Several methods have been proposed to describe face images in order to recognize them automatically. Local methods based on spatial histograms of local patterns (or operators) are among the best-performing ones. In this paper, a new method that allows to obtain more robust histograms of local patterns by using a more discriminative spatial division strategy is proposed. Spatial histograms are obtained from regions clustered according to the semantic pixel relations, making better use of the spatial information. Here, a simple rule is used, in which pixels in an image patch are clustered by sorting their intensity values. By exploring the information entropy on image patches, the number of sets on each of them is learned. Besides, Principal Component Analysis with a Whitening process is applied for the final feature vector dimension reduction, making the representation more compact and discriminative. The proposed division strategy is invariant to monotonic grayscale changes, and shows to be particularly useful when there are large expression variations on the faces. The method is evaluated on three widely used face recognition databases: AR, FERET and LFW, with the very popular LBP operator and some of its extensions. Experimental results show that the proposal not only outperforms those methods that use the same local patterns with the traditional division, but also some of the best-performing state-of-the-art methods.
关键词	Face Recognition Face Image Local Binary Pattern Local Pattern Information Entropy
WOS标题词	Science & Technology ; Technology
关键词[WOS]	ORIENTED EDGE MAGNITUDES ; BINARY PATTERNS ; TEXTURE CLASSIFICATION ; REPRESENTATION ; SCALE ; IMAGE
收录类别	SCI
语种	英语
WOS研究方向	Engineering ; Imaging Science & Photographic Technology
WOS类目	Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology
WOS记录号	WOS:000336386600001
引用统计	被引频次：5[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/173211/3781
专题	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, Beijing 100190, Peoples R China 2.Adv Technol Applicat Ctr, Havana, Cuba
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	Zhenhua Chai,Heydi Mendez-Vazquez,Ran He,et al. Explore Semantic Pixel Sets based Local Patterns with Information Entropy for Face Recognition[J]. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING,2014(1):14-26.
APA	Zhenhua Chai,Heydi Mendez-Vazquez,Ran He,Zhenan Sun,&Tieniu Tan.(2014).Explore Semantic Pixel Sets based Local Patterns with Information Entropy for Face Recognition.EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING(1),14-26.
MLA	Zhenhua Chai,et al."Explore Semantic Pixel Sets based Local Patterns with Information Entropy for Face Recognition".EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING .1(2014):14-26.