Presentation | 2004/11/11 A study of extracting the strength and the kind of facial expression based on the amount of feature point moves in the facial image by Neural Networks Hiroshi WATABE, Kazunori KOTANI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In current researches for recognition of facial expressions, the outputs are not considered the strength and the kind of facial expression, because the system limited the outputs at several categories of facial expressions. The method for this problems that increasing the categories of outputs needs reconstructing of the systems with the number of categories. This paper describes the method of expressing the facial expressions using the numerical terms. This paper proposes the contribution value of facial expressions using the 6 standard facial expressions proposed by P.Ekman. This paper discusses a method of extracting the strength and the kind of facial expressions using the contribution value of facial expressions. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | The Strength Qf Facial Expressions / The Kind of Facial Expressions / Recognition of Facial Expressions / Neural Network |
Paper # | PRMU2004-97,HIP2004-37 |
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Committee | HIP |
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Conference Date | 2004/11/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Human Information Processing (HIP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A study of extracting the strength and the kind of facial expression based on the amount of feature point moves in the facial image by Neural Networks |
Sub Title (in English) | |
Keyword(1) | The Strength Qf Facial Expressions |
Keyword(2) | The Kind of Facial Expressions |
Keyword(3) | Recognition of Facial Expressions |
Keyword(4) | Neural Network |
1st Author's Name | Hiroshi WATABE |
1st Author's Affiliation | Faculty of Engineering, Japan Advanced Institute of Sience and Technology() |
2nd Author's Name | Kazunori KOTANI |
2nd Author's Affiliation | Faculty of Engineering, Japan Advanced Institute of Sience and Technology |
Date | 2004/11/11 |
Paper # | PRMU2004-97,HIP2004-37 |
Volume (vol) | vol.104 |
Number (no) | 449 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |