Presentation | 1999/12/16 Integration of Viewpoint Dependent Classifiers for Viewpoint Invariant Face Recognition Takio KURITA, Hiroyuki SHIMAI, Takashi TAKAHASHI, Takaomi SHIGEHARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a viewpoint invariant face recognition method in which several viewpoint dependent classifiers are combined by a gating network. The gating network is trained such that one of the classifiers is selected dpending on the viewpoint of a given input face image. Multinomial logit model is used for both of the viewpoint dependent classifiers and the gating network. The unsupervised and supervised learning algorithms are presented within a framework of maximum-likelihood estimation. Experimental results of view invariant face recognition are shown using a face images captured from several different viewpoints. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | face recognition / view invariant / mixture of experts / multiple classifier |
Paper # | PRMU99-170 |
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Committee | PRMU |
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Conference Date | 1999/12/16(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 | 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) | Integration of Viewpoint Dependent Classifiers for Viewpoint Invariant Face Recognition |
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Keyword(1) | face recognition |
Keyword(2) | view invariant |
Keyword(3) | mixture of experts |
Keyword(4) | multiple classifier |
1st Author's Name | Takio KURITA |
1st Author's Affiliation | Electrotechnical Laboratory() |
2nd Author's Name | Hiroyuki SHIMAI |
2nd Author's Affiliation | Saitama University |
3rd Author's Name | Takashi TAKAHASHI |
3rd Author's Affiliation | University of Tsukuba (JSPS Research Fellow) |
4th Author's Name | Takaomi SHIGEHARA |
4th Author's Affiliation | Saitama University |
Date | 1999/12/16 |
Paper # | PRMU99-170 |
Volume (vol) | vol.99 |
Number (no) | 514 |
Page | pp.pp.- |
#Pages | 8 |
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