Research Article
A vision-based hybrid method for facial expression recognition
@INPROCEEDINGS{10.4108/ICST.AMBISYS2008.2977, author={X. Huang and Y. Lin}, title={A vision-based hybrid method for facial expression recognition}, proceedings={1st International ICST Conference on Ambient Media and Systems}, publisher={ICST}, proceedings_a={AMBI-SYS}, year={2010}, month={5}, keywords={Facial expression recognition Adaboost Skin color model Motion history image Optical flow Support vector machine.}, doi={10.4108/ICST.AMBISYS2008.2977} }- X. Huang
Y. Lin
Year: 2010
A vision-based hybrid method for facial expression recognition
AMBI-SYS
ICST
DOI: 10.4108/ICST.AMBISYS2008.2977
Abstract
Facial expression is a very useful channel for intelligent human computer communication. In this paper we propose a hybrid method to recognize facial expression. Our main contributions in this study are: first, face region is detected by combing Adaboost, Skin color model and motion history image; second, feature points representing different facial expressions are separated using optical flow; third, a support vector machine classifier is used to classify these feature point’s info (location, distance, angle); last, tests to explore the whole facial expression recognition process are conducted and the results are satisfactory.
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