Presentation | 2003/1/17 Development of Face Identification System using Synthesized Images of Face Expression Takashi KUMAKURA, Minoru NAKAYAMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes face identification method using synthesized imges of face expression from neutral face images to improve the performance. Three expression features, smile, anger and scream, were extracted from actual expression face images by the eigen space method. Synthesized face images based on these features were added on loarning data for personal identification model with support vector machines (SVM). The performance of this model was significantly higer than model without expression face images, but significantly lower than model using actual expression images. The results suggested that identification performance also significantly depended on facial emotions. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Personal Identification / expressive Face / eigenspace method / Support Vector Machine / grayscale image |
Paper # | HCS2002-34 |
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Committee | HCS |
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Conference Date | 2003/1/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Human Communication Science (HCS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Development of Face Identification System using Synthesized Images of Face Expression |
Sub Title (in English) | |
Keyword(1) | Personal Identification |
Keyword(2) | expressive Face |
Keyword(3) | eigenspace method |
Keyword(4) | Support Vector Machine |
Keyword(5) | grayscale image |
1st Author's Name | Takashi KUMAKURA |
1st Author's Affiliation | Tokyo Institute of Technology Graduate School of Decision Science and Technology() |
2nd Author's Name | Minoru NAKAYAMA |
2nd Author's Affiliation | Tokyo Institute of Technology Graduate School of Decision Science and Technology |
Date | 2003/1/17 |
Paper # | HCS2002-34 |
Volume (vol) | vol.102 |
Number (no) | 598 |
Page | pp.pp.- |
#Pages | 6 |
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