| Presentation | 1999/11/18 Kernel Mutual Subspace Method and It's Application to Face Recognition Hitoshi Sakano, Naoki Mukawa, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a novel object recognition method named kernel mutual subspace method (KSM). Mutual subspace method (MSM) proposed by Maeda, et. al. is a powerful method for facial image recognition. However, the recognition accuracy of MSM method degraded when the data distribution is nonlinear. To overcome the shortcoming, we applie kernel principal component analysis to mutual subspace method. We describe the novel object recognition method from the theoretical aspect. Then, We show some preliminary experimental result of facial image recognition. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | face recognition / kernel PCA / mutual subspace method |
| Paper # | PRMU99-116 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 1999/11/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| 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) | Kernel Mutual Subspace Method and It's Application to Face Recognition |
| Sub Title (in English) | |
| Keyword(1) | face recognition |
| Keyword(2) | kernel PCA |
| Keyword(3) | mutual subspace method |
| 1st Author's Name | Hitoshi Sakano |
| 1st Author's Affiliation | NTT Data Corporation() |
| 2nd Author's Name | Naoki Mukawa |
| 2nd Author's Affiliation | NTT Data Corporation |
| Date | 1999/11/18 |
| Paper # | PRMU99-116 |
| Volume (vol) | vol.99 |
| Number (no) | 448 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |