Presentation 1997/10/24
On the Analysis of Facial Expressions
Zdenek Prochazka, Takayuki Ito, Toshio Okamoto,
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Abstract(in English) Motion is a very important source of information for facial expression recognition, but it is clear that static information also has a role to play. In this paper we investigate the role of spatial frequencies in the discrimination of expressions. The results show that discrimination between expressions becomes difficult when we use only low-frequency components, and that the middle frequency components are most important for discrimination of expressions.
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Keyword(in English) Facial expression recognition / Fourier trasform / Spatial frequency analysis
Paper # ET97-66
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Conference Information
Committee ET
Conference Date 1997/10/24(1days)
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Registration To Educational Technology (ET)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On the Analysis of Facial Expressions
Sub Title (in English)
Keyword(1) Facial expression recognition
Keyword(2) Fourier trasform
Keyword(3) Spatial frequency analysis
1st Author's Name Zdenek Prochazka
1st Author's Affiliation Graduate School of Informations Systems, University of Electro-Communications()
2nd Author's Name Takayuki Ito
2nd Author's Affiliation NHK Science and Technical Research Laboratories
3rd Author's Name Toshio Okamoto
3rd Author's Affiliation Graduate School of Informations Systems, University of Electro-Communications
Date 1997/10/24
Paper # ET97-66
Volume (vol) vol.97
Number (no) 340
Page pp.pp.-
#Pages 7
Date of Issue