Facial expression recognition based on combined HMM

Authors:
Chuan-/jun Wen;Yong-/Zhao Zhan
Affiliations:
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China/ College of Science, Changzhou Institute of Technology, Changzhou, China.;School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China
Venue:
International Journal of Computer Applications in Technology
Year:
2010

Citing 2
Cited 0

Comprehensive Database for Facial Expression Analysis

FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Facial expression recognition based on hybrid features and fusing discrete HMMs

ICVR'07 Proceedings of the 2nd international conference on Virtual reality

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a new recognition method called the combined HMM is proposed. The method combines HMM and Mixture-HMM through KNN. Mixture HMMs are trained on any two classes of training samples with traditional HMMs. The recognition procedure of combined HMM is to make a final class judgement by KNN while the HMM's basic decision is different from the Mixture-HMM confirmatory sentence. At the same time, some improvements for the KNN decision criterion and the HMM interactive rule are made to enhance classification ability. Experiments show that the performance of this combined method exceeds that of HMM.