Facial expression recognition using active appearance model

Authors:
Taehwa Hong;Yang-Bok Lee;Yong-Guk Kim;Hagbae Kim
Affiliations:
Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea;School of Computer Engineering, Sejong University, Seoul, Korea;School of Computer Engineering, Sejong University, Seoul, Korea;Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea
Venue:
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Year:
2006

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Abstract

This paper describes a facial expression recognition system based upon Active Appearance Model (AAM), which has been typically used for the face recognition task. Given that AAM has been also used in tracking the moving object, we thought it could be effective in recognizing the facial expressions of humans. Our results show that the performance of the facial expression recognition using AAM is reliably high when it combined with an enhanced Fisher classification model.