Presentation | 2009-01-12 Effective Face Recognition by Branch and Bound Method Yuta MATSUMOTO, Yuzuko UTSUMI, Yoshio IWAI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Many image features have been used for face recognition in recent decades. We propose a effective method for face recognition with Haar wavelet and branch and bound method for low computation cost. This method extracts image features by performing Haar wavelet on a normalized face image, and then recognizes a face by each classifer learned by AdaBoost in advance. The computation cost for face recognition is signifcantly reduced by selecting image features with high confdence and using a branch and bound method. We show the performance of the proposed method by experimental results. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | face recognition / Haar wavelet / AdaBoost / branch and bound method |
Paper # | PRMU2008-195 |
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Committee | PRMU |
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Conference Date | 2009/1/5(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) | Effective Face Recognition by Branch and Bound Method |
Sub Title (in English) | |
Keyword(1) | face recognition |
Keyword(2) | Haar wavelet |
Keyword(3) | AdaBoost |
Keyword(4) | branch and bound method |
1st Author's Name | Yuta MATSUMOTO |
1st Author's Affiliation | Graduate School of Engineering Science, Osaka University() |
2nd Author's Name | Yuzuko UTSUMI |
2nd Author's Affiliation | Graduate School of Engineering Science, Osaka University |
3rd Author's Name | Yoshio IWAI |
3rd Author's Affiliation | Graduate School of Engineering Science, Osaka University |
Date | 2009-01-12 |
Paper # | PRMU2008-195 |
Volume (vol) | vol.108 |
Number (no) | 374 |
Page | pp.pp.- |
#Pages | 6 |
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