Presentation 2001/1/12
on Analysis of Eigen Vectors for Facial Expression
Hiroyasu SATO, Yukiko KENMOCHI, Kazunori KOTANI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) A facial expression motion appears as a change of gray levels in the image sequence. In this paper, we extract the eigen vector for facial expression motion by using appearance base method such as an eigenspace to use it for an individual identification or a facial expression synthesis. And, a facial expression degree is examined from the facial image sequense by using this eigen vector.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) appearance base / facial expression analysis / eigenspace method / facial image sequence
Paper # PRMU2000-165
Date of Issue

Conference Information
Committee PRMU
Conference Date 2001/1/12(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) on Analysis of Eigen Vectors for Facial Expression
Sub Title (in English)
Keyword(1) appearance base
Keyword(2) facial expression analysis
Keyword(3) eigenspace method
Keyword(4) facial image sequence
1st Author's Name Hiroyasu SATO
1st Author's Affiliation Graduate School of Information Science, Japan Advanced Institute of Science and Technology()
2nd Author's Name Yukiko KENMOCHI
2nd Author's Affiliation Graduate School of Information Science, Japan Advanced Institute of Science and Technology
3rd Author's Name Kazunori KOTANI
3rd Author's Affiliation Graduate School of Information Science, Japan Advanced Institute of Science and Technology
Date 2001/1/12
Paper # PRMU2000-165
Volume (vol) vol.100
Number (no) 566
Page pp.pp.-
#Pages 8
Date of Issue