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 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
Conference Date 2004/11/11(1days)
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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