Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
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 | |
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 |
推荐引用方式 GB/T 7714 | 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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Learning Robust Face(2662KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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