CASIA OpenIR  > 模式识别国家重点实验室  > 生物识别与安全技术研究
Dynamic Image-to-Class Warping for Occluded Face Recognition
Wei, Xingjie1; Li, Chang-Tsun1; Lei, Zhen2,3; Yi, Dong2,3; Li, Stan Z.2,3
Source PublicationIEEE Transactions on Information Forensics and Security
2014-12-01
Volume9Issue:12Pages:2035-2050
SubtypeArticle
AbstractFace 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.
KeywordFace Recognition Occlusion Image-to-class Distance Dynamic Time Warping Biometrics
WOS HeadingsScience & Technology ; Technology
WOS KeywordEXPRESSION VARIANT FACES ; SPARSE REPRESENTATION ; SINGLE IMAGE ; OCCLUSION ; VERIFICATION ; FEATURES ; MODELS ; PCA
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000353289900003
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8111
Collection模式识别国家重点实验室_生物识别与安全技术研究
Affiliation1.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
Recommended Citation
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.
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