Facial expression recognition based on rough set theory and SVM

Authors:
Peijun Chen;Guoyin Wang;Yong Yang;Jian Zhou
Affiliations:
School of Information Science and Technology, Southwest Jiaotong University, Chengdou, P.R. China;Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, P.R. China;School of Information Science and Technology, Southwest Jiaotong University, Chengdou, P.R. China;School of Information Science and Technology, Southwest Jiaotong University, Chengdou, P.R. China
Venue:
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Year:
2006

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Abstract

Facial expression recognition is becoming more and more important in computer application, such as health care, children education, etc. Based on geometric feature and appearance feature, there are a few works have been done on facial expression recognition using such methods as ANN, SVM, etc. In this paper, considering geometric feature only, a novel approach based on rough set theory and SVM is proposed. The experiment results show this approach can get high recognition ratio and reduce the cost of calculation