Image synthesis for sparse representation-based multi-pose face recognition

被引：0

作者：

Zhang, Daming ^{[1
]}

Zhang, Xueyong ^{[1
]}

Li, Lu ^{[1
]}

Liu, Huayong ^{[1
]}

机构：

[1] School of Mathematics and Physics, Anhui Jianzhu University, Hefei

来源：

Journal of Computational Information Systems | 2015年 / 11卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Face recognition; Multi-pose synthesis; Sparse representation;

D O I：

10.12733/jcis12933

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we consider the problem of the pose variance in face recognition. In practice, the face images we get usually have different poses; however the number of training sample is limited, so the sparse representation based classification (SRC) for face recognition cannot work well. For the purpose of expending the sample size, a 3D face modal based image synthesis method is adopted. Extensive experiments on the CMU-PIE face and Feret face database are conducted to verify the efficiency of the proposed image synthesis based SRC (IS-SRC) method for multi-pose face recognition. ©, 2015, Binary Information Press. All right reserved.

引用

页码：875 / 881

页数：6

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