Face Recognition with Supervised Spectral Regression And Multiple Kernel SVM

被引:0
|
作者
Xiao, Yongliang [1 ]
Xia, Limin [1 ]
Zhang, Wei [1 ]
机构
[1] Cent S Univ, Sch Informat Sci & Engn, Changsha, Hunan, Peoples R China
关键词
face recognition; supervised learning; spectral regression; multiple kernel learnin; SVM; PCA;
D O I
10.1109/ICACC.2010.5486908
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Face recognition plays an every important role in security surveillance, secure access and identity authentication. In this paper, we propose a novel face recognition method based on supervised learning. Our method consists in first extracting face feature using a supervised spectral regression, then we use multiple kernel SVM to classify face. Experimental results on Yale B face database and AR face database show the effectiveness of the proposed method.
引用
收藏
页码:343 / 346
页数:4
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