| Presentation | 2006/1/3 AFFINE-INVARIANT RECOGNITION OF FACE IMAGES USING GAT CORRELATION(International Workshop on Advanced Image Technology 2006) Shinya Makino, Toru Wakahara, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper addresses a challenging problem of performing normalization and recognition of face images at one time. The key idea is use of GAT (Global Affine Transformation) correlation for determining optimal 2D affine parameters that normalize a given image to yield the maximum correlation value with a target image. In our proposed method an input image is assigned to the enrolled face image associated with the largest GAT correlation value between the two images. By using 300 faces×8 images (4 frontal and 4 near-frontal images) extracted from the public HOIP face image database subject to no normalization we show that the proposed method achieves a very high recognition rate of 99.79% as compared to that of 98.46% obtained by the well-known eigenface method as applied only to manually normalized face images. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | IE2005-188 |
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| Committee | IE |
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| Conference Date | 2006/1/3(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Image Engineering (IE) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | AFFINE-INVARIANT RECOGNITION OF FACE IMAGES USING GAT CORRELATION(International Workshop on Advanced Image Technology 2006) |
| Sub Title (in English) | |
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| 1st Author's Name | Shinya Makino |
| 1st Author's Affiliation | Faculty of Computer and Information Sciences Hosei University() |
| 2nd Author's Name | Toru Wakahara |
| 2nd Author's Affiliation | Faculty of Computer and Information Sciences Hosei University |
| Date | 2006/1/3 |
| Paper # | IE2005-188 |
| Volume (vol) | vol.105 |
| Number (no) | 501 |
| Page | pp.pp.- |
| #Pages | 6 |
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