Facial Expression Recognition Based on Gabor Features and Sparse Representation

被引:0
作者
Liu, Weifeng [1 ]
Song, Caifeng [1 ]
Wang, Yanjiang [1 ]
Jia, Lu [1 ]
机构
[1] China Univ Petr East China, Coll Informat & Control Engn, Qingdao, Peoples R China
来源
2012 12TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS & VISION (ICARCV) | 2012年
关键词
facial expression recognition; sparse representation; Gabor feature; classification;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we present a facial expression recognition method based on Gabor feature and sparse representation. Sparse Representation based Classification (SRC) has been widely used in computer vision and pattern recognition. And Gabor filter banks can be used to approximately model the signal processing in visual primary cortex. We believe that the nature of the attractive performance of SRC and Gabor feature lies in that they both followed the natures of signal perception of retina and information processing of cortex in human vision. Therefore, we combined the Gabor feature and SRC for facial expression recognition. The comparison experiments of proposed Gabor+SRC algorithm and straightforward SRC application are conducted on JAFFE database. And the experimental results showed the attractive performance of the proposed Gabor+SRC method.
引用
收藏
页码:1402 / 1406
页数:5
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