计算机工程与应用2016，Vol.52Issue(11)：196-199,4.DOI:10.3778/j.issn.1002-8331.1408-0169
基于稀疏表示的分块人脸识别算法
Sub-modular sparse representation algorithm for face recognition
盛博文 1喻莹1
作者信息
- 1. 华中师范大学 计算机学院,武汉 430079
- 折叠
摘要
Abstract
Recently the method of sparse representation based on prototype plus variation model is applied in face recog-nition effectively. This algorithm only considers about the holistic face, but ignores the effect of local feature in the entire process. To solve this problem, this paper adds the idea of block processing. The Borda count method is used to assign dif-ferent votes to various classes of the sub-modular. Then it classifies the faces according to the final votes. The experimen-tal results on AR datasets validate that this method performs better than other methods when the faces are partially obscured or under different light conditions.关键词
人脸识别/稀疏表示/Borda投票/子模块Key words
face recognition/sparse representation/Borda count/sub-modular分类
信息技术与安全科学引用本文复制引用
盛博文,喻莹..基于稀疏表示的分块人脸识别算法[J].计算机工程与应用,2016,52(11):196-199,4.
