Presentation 2001/11/8
Face Recognition Using an Adaptive Discriminant Space
Hitoshi HONGO, Mamoru YASUMOTO, Yoshinori NIWA, Kazuhiko YAMAMOTO,
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Abstract(in English) We propose an adaptive discriminant space that is constructed from the candidates' facial images optimally distinguishes between faces among certain candidates. First, our method chooses the candidates using a hierarchical combination of face direction estimation and recognition using the Four-Directional Features based on Linear Discriminant Analysis. Next, face direction is estimated exactly by each candidate's discriminant space of face direction estimation. Finally, our method creates a new discriminant space from the candidates' facial images selected from the results of the face direction estimation procedure. Using the adaptive discriminant space, the candidates can be selected optimally. Experiments showed that our method improved our accuracy rate 1.2% to 98.8%, achieved by hierarchical face recognition of 105, 000 images from 150 subjects facing 35 different directions.
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Keyword(in English) face recognition / face direction estimation / Four Directional Features / linear discriminant space
Paper # PRMU2001-121,HIP2001-24,MVE2001-83
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Committee HIP
Conference Date 2001/11/8(1days)
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Registration To Human Information Processing (HIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Face Recognition Using an Adaptive Discriminant Space
Sub Title (in English)
Keyword(1) face recognition
Keyword(2) face direction estimation
Keyword(3) Four Directional Features
Keyword(4) linear discriminant space
1st Author's Name Hitoshi HONGO
1st Author's Affiliation HOIP, Softopia Japan/JST()
2nd Author's Name Mamoru YASUMOTO
2nd Author's Affiliation HOIP, Softopia Japan/JST
3rd Author's Name Yoshinori NIWA
3rd Author's Affiliation HOIP, Softopia Japan/JST
4th Author's Name Kazuhiko YAMAMOTO
4th Author's Affiliation Faculty of Engineering, Gifu University
Date 2001/11/8
Paper # PRMU2001-121,HIP2001-24,MVE2001-83
Volume (vol) vol.101
Number (no) 423
Page pp.pp.-
#Pages 8
Date of Issue