Presentation | 1999/12/17 Facial expression analysis by integrating information of feature-point positions and gray levels of facial images Yoshikazu SHINZA, Yukiko KENMOCHI, Kazunori KOTANI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | For the image analysis of facial expressions, we treat with the information which are not only gray levels of pixels but also positions of feature points. For each information, we apply the eigenspace method based on class features, and calculate the similarity measure between a given image and a dictionary image of each facial expression class. In this paper, we integrate both information and define the integrated similarity measures by using the linear combination and stochastic models. Using these measures, we make the experiments of facial expression recognition and show the results. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Facial expression analysis / eigenspace method / information integration. |
Paper # | PRMU99-181 |
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Committee | PRMU |
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Conference Date | 1999/12/17(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 analysis by integrating information of feature-point positions and gray levels of facial images |
Sub Title (in English) | |
Keyword(1) | Facial expression analysis |
Keyword(2) | eigenspace method |
Keyword(3) | information integration. |
1st Author's Name | Yoshikazu SHINZA |
1st Author's Affiliation | Graduate School of Information Science, Japan Advanced Institute of Science and Technology() |
2nd Author's Name | Yukiko KENMOCHI |
2nd Author's Affiliation | Graduate School of Information Science, Japan Advanced Institute of Science and Technology |
3rd Author's Name | Kazunori KOTANI |
3rd Author's Affiliation | Graduate School of Information Science, Japan Advanced Institute of Science and Technology |
Date | 1999/12/17 |
Paper # | PRMU99-181 |
Volume (vol) | vol.99 |
Number (no) | 515 |
Page | pp.pp.- |
#Pages | 6 |
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