Presentation | 2003/6/6 Recognition of Expression which uses Face Feature Nobuo NAGANO, Fuji REN, Shingo KUROIWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | To recognize face expression is very important issue in natural language understanding. In this paper, a new method for recognizing face expression, which consists of a preprocessing face expression image process, a detecting face area process, a extracting the characteristic process, and a recognizing the expression process, is presented. The recognized expressions in our research are seven kinds of expressionless, happy, surprise, disgust, fear, sadness and anger. In the method, for improving the system robustness, the characteristic for each face expression is extracted by using FACS, and then they are compared with a face expression dictionary using a minimum distance method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Image Recognition / Natural Language Understanding / Feelings Processing / Conversation Understanding |
Paper # | TL2003-11,NLC2003-11,WIT2003-11 |
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Committee | WIT |
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Conference Date | 2003/6/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Well-being Information Technology(WIT) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Recognition of Expression which uses Face Feature |
Sub Title (in English) | |
Keyword(1) | Image Recognition |
Keyword(2) | Natural Language Understanding |
Keyword(3) | Feelings Processing |
Keyword(4) | Conversation Understanding |
1st Author's Name | Nobuo NAGANO |
1st Author's Affiliation | Graduate School of Engineering, Tokushima University() |
2nd Author's Name | Fuji REN |
2nd Author's Affiliation | Faculty of Engineering, Tokushima University |
3rd Author's Name | Shingo KUROIWA |
3rd Author's Affiliation | Faculty of Engineering, Tokushima University |
Date | 2003/6/6 |
Paper # | TL2003-11,NLC2003-11,WIT2003-11 |
Volume (vol) | vol.103 |
Number (no) | 116 |
Page | pp.pp.- |
#Pages | 6 |
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