Regularized Discriminative Spectral Regression Method for Heterogeneous Face Matching
Huang, Xiangsheng; Lei, Zhen; Fan, Mingyu; Wang, Xiao; Li, Stan Z.
刊名IEEE TRANSACTIONS ON IMAGE PROCESSING
2013
卷号22期号:1;1页码:353-362
关键词Discriminative Regularization Face Recognition Heterogeneous Data Processing Spectral Regression Subspace Learning
文献子类Article
英文摘要Face recognition is confronted with situations in which face images are captured in various modalities, such as the visual modality, the near infrared modality, and the sketch modality. This is known as heterogeneous face recognition. To solve this problem, we propose a new method called discriminative spectral regression (DSR). The DSR maps heterogeneous face images into a common discriminative subspace in which robust classification can be achieved. In the proposed method, the subspace learning problem is transformed into a least squares problem. Different mappings should map heterogeneous images from the same class close to each other, while images from different classes should be separated as far as possible. To realize this, we introduce two novel regularization terms, which reflect the category relationships among data, into the least squares approach. Experiments conducted on two heterogeneous face databases validate the superiority of the proposed method over the previous methods.
WOS关键词RECOGNITION ; IMAGES
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000312892000028
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/40901]  
专题数字内容技术与服务研究中心_听觉模型与认知计算
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GB/T 7714
Huang, Xiangsheng,Lei, Zhen,Fan, Mingyu,et al. Regularized Discriminative Spectral Regression Method for Heterogeneous Face Matching[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2013,22(1;1):353-362.
APA Huang, Xiangsheng,Lei, Zhen,Fan, Mingyu,Wang, Xiao,&Li, Stan Z..(2013).Regularized Discriminative Spectral Regression Method for Heterogeneous Face Matching.IEEE TRANSACTIONS ON IMAGE PROCESSING,22(1;1),353-362.
MLA Huang, Xiangsheng,et al."Regularized Discriminative Spectral Regression Method for Heterogeneous Face Matching".IEEE TRANSACTIONS ON IMAGE PROCESSING 22.1;1(2013):353-362.
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