LOCAL FEATURES AND SPARSE REPRESENTATION FOR FACE RECOGNITION WITH PARTIAL OCCLUSIONS

被引：0

作者：

Adamo, A. ^{[1
]}

Grossi, G. ^{[2
]}

Lanzarotti, R. ^{[2
]}

机构：

[1] Univ Milan, Dept Math, I-20133 Milan, Italy

[2] Univ Milan, Dept Comp Sci, I-20135 Milan, Italy

来源：

2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013) | 2013年

关键词：

Sparse representation; Face recognition; face partial occlusions; expression variations; local features; Gabor features;

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

In this paper we present a new local-based face recognition system that combines weak classifiers to create a robust system able to recognize faces in presence of either occlusions or large expression variations. The method relies on sparse approximation using dictionaries built on local features. Experiments on the AR database show the effectiveness of our method, which achieves better performance than those obtained by the state-of-the-art l(1) norm-based sparse representation classifier (SRC).

引用

页码：3008 / 3012

页数：5

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