Presentation | 2008-02-21 Facial Expression Recognition Using Fisher Weight Maps for Gabor Features Tomohisa SHIMOTSU, Takashi TAKAHASHI, |
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Abstract(in English) | Fisher Weight Maps method is one of feature extraction methods for image-based pattern recognition. It applies linear discriminant analysis to a set of data matrices composed of local image features, and finds the optimal weight matrix which extracts discriminative features from the data matrices. We investigate two modifications on this method: 1) employing Gabor filtering to extract local features instead of Higher-order Local Auto-Correlation (HLAC), 2) composing the weights for each type of local features (corresponding to scales and orientations of Gabor filters ) instead of the weights for each position. It is shown that the proposed method outperforms the original method on two recognition tasks: facial expression recognition and pedestrian/non-pedestrian recognition. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Fisher Weight Maps / Facial Expression Recognition / Linear Discriminant Analysis / Gabor Features |
Paper # | PRMU2007-221 |
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Committee | PRMU |
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Conference Date | 2008/2/14(1days) |
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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) | Facial Expression Recognition Using Fisher Weight Maps for Gabor Features |
Sub Title (in English) | |
Keyword(1) | Fisher Weight Maps |
Keyword(2) | Facial Expression Recognition |
Keyword(3) | Linear Discriminant Analysis |
Keyword(4) | Gabor Features |
1st Author's Name | Tomohisa SHIMOTSU |
1st Author's Affiliation | Graduate School of Science and Technology, Ryukoku University() |
2nd Author's Name | Takashi TAKAHASHI |
2nd Author's Affiliation | Faculty of Science and Technology, Ryukoku University |
Date | 2008-02-21 |
Paper # | PRMU2007-221 |
Volume (vol) | vol.107 |
Number (no) | 491 |
Page | pp.pp.- |
#Pages | 6 |
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