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

来源：

2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 4 | 2010年

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

页码：343 / 346

页数：4

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