Presentation | 2002/3/1 Extraction of Facial Feature for Age Perception by PCA : Using Perceived Age Information Shigeru MUKAIDA, Miyuki KAMACHI, Keisuke KINOSHITA, Kunihiro CHIHARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This study examined an approach that extracts facial feature related to perceived age using Principal component Analysis(PCA). This approach avoid the usual difficult in extract Principal component of age related facial features. We added to facial feature a vector facial age information, not directly relate to the image structure. We were able to extract the Principal component of the aging facial feature as Pc1. And we created synthesis pictures of faces using extracted features of perceived facial age. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | perceived age / face / shape feature / feature extraction / PCA |
Paper # | HIP2001-99 |
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Committee | HIP |
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Conference Date | 2002/3/1(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) | Extraction of Facial Feature for Age Perception by PCA : Using Perceived Age Information |
Sub Title (in English) | |
Keyword(1) | perceived age |
Keyword(2) | face |
Keyword(3) | shape feature |
Keyword(4) | feature extraction |
Keyword(5) | PCA |
1st Author's Name | Shigeru MUKAIDA |
1st Author's Affiliation | ATR Human Information Science Laboratories:NARA Institute of Science and Technology Graduate School of Information Science() |
2nd Author's Name | Miyuki KAMACHI |
2nd Author's Affiliation | ATR Human Information Science Laboratories |
3rd Author's Name | Keisuke KINOSHITA |
3rd Author's Affiliation | ATR Human Information Science Laboratories |
4th Author's Name | Kunihiro CHIHARA |
4th Author's Affiliation | NARA Institute of Science and Technology Graduate School of Information Science |
Date | 2002/3/1 |
Paper # | HIP2001-99 |
Volume (vol) | vol.101 |
Number (no) | 699 |
Page | pp.pp.- |
#Pages | 8 |
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