Presentation | 2001/1/12 Face identification using auto-extracted facial feature points and real Gabor transformation Yukio Yoshida, Haiyuan Wu, Tadayoshi Shioyama, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Face identification has been resarched for security. This paper presents a method for face identification using auto-extacted facial feature points and real Gabor transformation. In this method, first, we extract facial feature points automatically from detected face organ, then obtain Gabor transformation around the feature points. We compare the input image with data base using both Gabor information and feature points distance. Gabor transformation has advantages of local frequency analysis of image. We efficiently identifify faces with arranging Gabor filters without ovarlap and with using output of the filters only around feature points. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | face identification / facial feature points / Gabor transform / filter arrangement |
Paper # | PRMU2000-163 |
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Committee | PRMU |
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Conference Date | 2001/1/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Face identification using auto-extracted facial feature points and real Gabor transformation |
Sub Title (in English) | |
Keyword(1) | face identification |
Keyword(2) | facial feature points |
Keyword(3) | Gabor transform |
Keyword(4) | filter arrangement |
1st Author's Name | Yukio Yoshida |
1st Author's Affiliation | Department of Machanical and Systems Engineering Kyoto Institute of Technology() |
2nd Author's Name | Haiyuan Wu |
2nd Author's Affiliation | Department of Machanical and Systems Engineering Kyoto Institute of Technology |
3rd Author's Name | Tadayoshi Shioyama |
3rd Author's Affiliation | Department of Machanical and Systems Engineering Kyoto Institute of Technology |
Date | 2001/1/12 |
Paper # | PRMU2000-163 |
Volume (vol) | vol.100 |
Number (no) | 566 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |