Presentation | 2003/11/13 Evaluation of the Gender Presumption Capability Performance between Facial Parts Takuya KAWANO, Kunihito KATO, Kazuhiko YAMAMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We use the edge feature and the four directional feature fields on many facial images and then analyzed the feature space. The main purpose of our work is to evaluate which of the subject's facial parts are the most effective at making the difference between males and females. Evaluation of the feature space uses the within-class variance between-class variance ratio and the cluster discriminant analysis. By experimenting on many subjects, we conclude that face, eyes and jaw make the best feature spaces in order to distinguish between male and female subjects. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Gender Differentiation / Facial Parts / Within-class Variance Between-class Variance Ratio / Cluster Discriminant Analysis |
Paper # | PRMU2003-141,HIP2003-47 |
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Committee | HIP |
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Conference Date | 2003/11/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Evaluation of the Gender Presumption Capability Performance between Facial Parts |
Sub Title (in English) | |
Keyword(1) | Gender Differentiation |
Keyword(2) | Facial Parts |
Keyword(3) | Within-class Variance Between-class Variance Ratio |
Keyword(4) | Cluster Discriminant Analysis |
1st Author's Name | Takuya KAWANO |
1st Author's Affiliation | Faculty of Engineering, Gifti University() |
2nd Author's Name | Kunihito KATO |
2nd Author's Affiliation | Faculty of Engineering, Gifti University |
3rd Author's Name | Kazuhiko YAMAMOTO |
3rd Author's Affiliation | Faculty of Engineering, Gifti University |
Date | 2003/11/13 |
Paper # | PRMU2003-141,HIP2003-47 |
Volume (vol) | vol.103 |
Number (no) | 454 |
Page | pp.pp.- |
#Pages | 6 |
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