Dynamic Image-to-Class Warping for Occluded Face Recognition

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 生物识别与安全技术研究中心

	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
刊名	IEEE Transactions on Information Forensics and Security
	2014-12-01
卷号	9 期号:12 页码:2035-2050
关键词	Face recognition occlusion image-to-class distance dynamic time warping biometrics
英文摘要	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.
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]	EXPRESSION VARIANT FACES ; SPARSE REPRESENTATION ; SINGLE IMAGE ; OCCLUSION ; VERIFICATION ; FEATURES ; MODELS ; PCA
收录类别	SCI
语种	英语
WOS记录号	WOS:000353289900003
公开日期	2015-09-22
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/8111]
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.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.