Learning Robust Face Representation With Classwise Block-Diagonal Structure
Li, Yong; Liu, Jing; Lu, Hanqing; Ma, Songde
发表期刊IEEE Transactions on Information Forensics and Security
2014-12-01
卷号9期号:12页码:2051-2062
文章类型Article
摘要Face recognition has been widely studied due to its importance in various applications. However, the case that both training images and testing images are corrupted is not well solved. To address such a problem, this paper proposes a semisupervised learning algorithm for robust face recognition. In particular, we consider three items in the proposed formulation. First, a low-rank and sparse representation for face recognition is required to handle the possible contamination of the whole data. Second, a classwise block-diagonal structure of the learned representation is expected to promote discrimination among different classes. With the structure regularization, we make the samples from different classes be reconstructed with different bases as much as possible. Third, a compact and discriminative dictionary should be learnt to handle the problem of corrupted data. Extensive experiments on three public databases are performed to validate the effectiveness of our approach. The strong identification capability of representation with block-diagonal structure is verified.
关键词Robust Face Recognition Low-rank And Sparse Representation Classwise Block-diagonal Structure
WOS标题词Science & Technology ; Technology
关键词[WOS]RANK MATRIX RECOVERY ; SPARSE REPRESENTATION ; IMAGE CLASSIFICATION ; LINEAR-SUBSPACES ; RECOGNITION ; DICTIONARY ; ALGORITHM ; MODELS
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:000353289900004
引用统计
被引频次:22[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/173211/8109
专题模式识别国家重点实验室_图像与视频分析
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
第一作者单位模式识别国家重点实验室
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Li, Yong,Liu, Jing,Lu, Hanqing,et al. Learning Robust Face Representation With Classwise Block-Diagonal Structure[J]. IEEE Transactions on Information Forensics and Security,2014,9(12):2051-2062.
APA Li, Yong,Liu, Jing,Lu, Hanqing,&Ma, Songde.(2014).Learning Robust Face Representation With Classwise Block-Diagonal Structure.IEEE Transactions on Information Forensics and Security,9(12),2051-2062.
MLA Li, Yong,et al."Learning Robust Face Representation With Classwise Block-Diagonal Structure".IEEE Transactions on Information Forensics and Security 9.12(2014):2051-2062.
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