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,
PDF Download Page PDF download Page Link
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
Date of Issue

Conference Information
Committee HIP
Conference Date 2002/3/1(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Human Information Processing (HIP)
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
Date of Issue