Dynamic Image-to-Class Warping for Occluded Face Recognition

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

	Dynamic Image-to-Class Warping for Occluded Face Recognition
	Wei, Xingjie 1; Li, Chang-Tsun 1; Lei, Zhen2,3 ; Yi, Dong 2,3; Li, Stan Z.2,3
发表期刊	IEEE Transactions on Information Forensics and Security
	2014-12-01
卷号	9 期号:12 页码:2035-2050
文章类型	Article
摘要	Face recognition (FR) systems in real-world applications need to deal with a wide range of interferences, such as occlusions and disguises in face images. Compared with other forms of interferences such as nonuniform illumination and pose changes, face with occlusions has not attracted enough attention yet. A novel approach, coined dynamic image-to-class warping (DICW), is proposed in this work to deal with this challenge in FR. The face consists of the forehead, eyes, nose, mouth, and chin in a natural order and this order does not change despite occlusions. Thus, a face image is partitioned into patches, which are then concatenated in the raster scan order to form an ordered sequence. Considering this order information, DICW computes the image-to-class distance between a query face and those of an enrolled subject by finding the optimal alignment between the query sequence and all sequences of that subject along both the time dimension and within-class dimension. Unlike most existing methods, our method is able to deal with occlusions which exist in both gallery and probe images. Extensive experiments on public face databases with various types of occlusions have confirmed the effectiveness of the proposed method.
关键词	Face Recognition Occlusion Image-to-class Distance Dynamic Time Warping Biometrics
WOS标题词	Science & Technology ; Technology
关键词[WOS]	EXPRESSION VARIANT FACES ; SPARSE REPRESENTATION ; SINGLE IMAGE ; OCCLUSION ; VERIFICATION ; FEATURES ; MODELS ; PCA
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000353289900003
引用统计	被引频次：24[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/173211/8111
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.Univ Warwick, Dept Comp Sci, Coventry CV4 7AL, W Midlands, England 2.Chinese Acad Sci, Ctr Biometr & Secur Res, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Wei, Xingjie,Li, Chang-Tsun,Lei, Zhen,et al. Dynamic Image-to-Class Warping for Occluded Face Recognition[J]. IEEE Transactions on Information Forensics and Security,2014,9(12):2035-2050.
APA	Wei, Xingjie,Li, Chang-Tsun,Lei, Zhen,Yi, Dong,&Li, Stan Z..(2014).Dynamic Image-to-Class Warping for Occluded Face Recognition.IEEE Transactions on Information Forensics and Security,9(12),2035-2050.
MLA	Wei, Xingjie,et al."Dynamic Image-to-Class Warping for Occluded Face Recognition".IEEE Transactions on Information Forensics and Security 9.12(2014):2035-2050.