Facial Expression Recognition Analysis with Muti-Scale Filter

被引：0
|
作者：
Ou, Jun [1 ]
机构：
[1] Hainan Coll Software Technol, Dept Network Engn, Qionghai 571400, Hainan, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON SOLID STATE DEVICES AND MATERIALS SCIENCE | 2012年 / 25卷
关键词：
Facial expression recognition; Muti-scale filters; Feature extraction;
D O I：
10.1016/j.phpro.2012.03.226
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The design of filters is the key step of facial expression extraction. Frequency and orientation of the filters can simulate those of the human visual system, and they have the characteristics of being particularly appropriate for texture representation and discrimination. The paper presents the wavelet filter provided with 3 frequencies, 8 orientations. In according to actual demand, it can extract the feature of low quality facial expression image target, and have good robust for automatic facial expression recognition. Experimental results show that the performance of the proposed filter achieved excellent average recognition rates, when it is applied to facial expression recognition system. (C) 2012 Published by Elsevier B.V. Selection and/or peer-review under responsibility of Garry Lee
引用
收藏
页码：1236 / 1240
页数：5
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