Presentation | 1997/6/20 Robust face recognition under drastic changes of conditions of image acquisition Masaki Sohma, Kenji Nagao, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a new algorithm for face recognition which can deal with drastic changes of conditions of image aquisition. Unlike the recent approach based on KL transform that captures the features of faces only in static way, the present method exploits information of the changes of images more explicitly. For instance, if we change the direction of illuminant, it sometimes produces extremely different pictures of faces. Our method can handle such changes of face images, by defining a perturbation space that is obtained from the learing set of individual face pairs with two types of image acquisition condtitions. Empirical results shows the effectiveness of the proposed method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | face recognition / KL expansion / maharanobis metric |
Paper # | PRMU97-48 |
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Committee | PRMU |
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Conference Date | 1997/6/20(1days) |
Place (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) | Robust face recognition under drastic changes of conditions of image acquisition |
Sub Title (in English) | |
Keyword(1) | face recognition |
Keyword(2) | KL expansion |
Keyword(3) | maharanobis metric |
1st Author's Name | Masaki Sohma |
1st Author's Affiliation | Matsushita Research Institute Tokyo, Inc.() |
2nd Author's Name | Kenji Nagao |
2nd Author's Affiliation | Matsushita Research Institute Tokyo, Inc. |
Date | 1997/6/20 |
Paper # | PRMU97-48 |
Volume (vol) | vol.97 |
Number (no) | 113 |
Page | pp.pp.- |
#Pages | 7 |
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