Presentation 2005-10-28
Age-group Classification Using Facial Images under Various Lighting Conditions
Kazuya UEKI, Teruhide HAYASHIDA, Tetsunori KOBAYASHI,
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Abstract(in English) This paper presents a framework of age-group classification using facial images under various lighting conditions. Our method is based on the appearance-based approach that projects images from the original image space into a face-subspace. We propose a two-phased approach (2DLDA+LDA), which is based on 2DPCA and LDA. Our experimental results show that the new 2DLDA+LDA-based approach improves classification accuracy compared to the conventional PCA-based and LDA-based approach. Moreover, the effectiveness of eliminating dimensions that do not contain important discriminative information is confirmed. The accuracy rates are 46.3%, 67.8% and 78.1% when age-groups are 5-year, 10-year and 15-year range respectively.
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Keyword(in English) PCA / LDA / 2DPCA / 2DLDA / Age-group Classification / Face Recognition / Small Sample Size Problem
Paper # PRMU2005-95
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Conference Information
Committee PRMU
Conference Date 2005/10/21(1days)
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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) Age-group Classification Using Facial Images under Various Lighting Conditions
Sub Title (in English)
Keyword(1) PCA
Keyword(2) LDA
Keyword(3) 2DPCA
Keyword(4) 2DLDA
Keyword(5) Age-group Classification
Keyword(6) Face Recognition
Keyword(7) Small Sample Size Problem
1st Author's Name Kazuya UEKI
1st Author's Affiliation Science and Engineering, Waseda University:NEC Soft, Ltd.()
2nd Author's Name Teruhide HAYASHIDA
2nd Author's Affiliation Science and Engineering, Waseda University
3rd Author's Name Tetsunori KOBAYASHI
3rd Author's Affiliation Science and Engineering, Waseda University
Date 2005-10-28
Paper # PRMU2005-95
Volume (vol) vol.105
Number (no) 375
Page pp.pp.-
#Pages 6
Date of Issue