Presentation | 2000/9/15 A Face Recognition Algorithm Robust Against Illumination Variations : Estimation of Surface Reflectance from Face Image Hitoshi Imaoka, Shizuo Sakamoto, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The authors propose a face recognition algorithm robust against the illumination variations, using an average face shape. This algorithm uses the surface reflectance as a matching feature, and it is possible to recognize faces from minimal registration data:single face image for each person. By using the average face shape for each local area, the deviation from the individual face shapes is suppressed and the estimated error of surface reflectance is decreased. The correct recognition rate for images of 41 persons with 5 illumination conditions was 97.0%, which was much higher than that by the edge-based matching method 82.9%. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | face recognition / illumination variations / image database search / 3-dimensional shape model |
Paper # | PRMU2000-80 |
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Committee | PRMU |
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Conference Date | 2000/9/15(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) | A Face Recognition Algorithm Robust Against Illumination Variations : Estimation of Surface Reflectance from Face Image |
Sub Title (in English) | |
Keyword(1) | face recognition |
Keyword(2) | illumination variations |
Keyword(3) | image database search |
Keyword(4) | 3-dimensional shape model |
1st Author's Name | Hitoshi Imaoka |
1st Author's Affiliation | System Devices and Fundamental Research, NEC Corporation() |
2nd Author's Name | Shizuo Sakamoto |
2nd Author's Affiliation | Computer & Communication Media Research, NEC Corporation |
Date | 2000/9/15 |
Paper # | PRMU2000-80 |
Volume (vol) | vol.100 |
Number (no) | 312 |
Page | pp.pp.- |
#Pages | 8 |
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