Presentation 2005-02-03
A preliminary study toward building a facial expression recognition system that overcomes individual variation
Keigo YUI, Tsumoru TATSUOKA, Shigeru AKAMATSU,
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Abstract(in English) This paper describes a facial expression recognition system that is designed to overcome individual variation. This approach employs that the facial expression image from the camera are coded by applying Gabor filter and Principal component analysis. If there are differences between training persons and test persons in race and degree of intensity expression action, a generalization rate for recognition of expression comes down. The results show that if a general-purpose expression recognition system equips with personal or racial identification before process of expression recognition, the possibility of a system capable of overcoming individual variation facial expression could become reality.
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Keyword(in English) facial expression recognition / individual variation / racial effect / nearest-neighbor / learning samples
Paper # ITS2004-54,IE2004-188
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Committee IE
Conference Date 2005/1/27(1days)
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Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A preliminary study toward building a facial expression recognition system that overcomes individual variation
Sub Title (in English)
Keyword(1) facial expression recognition
Keyword(2) individual variation
Keyword(3) racial effect
Keyword(4) nearest-neighbor
Keyword(5) learning samples
1st Author's Name Keigo YUI
1st Author's Affiliation Department of System Engineering, Graduate School of Engineering, Hosei University()
2nd Author's Name Tsumoru TATSUOKA
2nd Author's Affiliation Department of Systems Control Engineering, Faculty of Engineering, Hosei University
3rd Author's Name Shigeru AKAMATSU
3rd Author's Affiliation Department of System Engineering, Graduate School of Engineering, Hosei University:Department of Systems Control Engineering, Faculty of Engineering, Hosei University
Date 2005-02-03
Paper # ITS2004-54,IE2004-188
Volume (vol) vol.104
Number (no) 648
Page pp.pp.-
#Pages 6
Date of Issue