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Proceedings Paper

Extracted facial feature of racial closely related faces
Author(s): Chalothorn Liewchavalit; Masakazu Akiba; Tsuneo Kanno; Tomoharu Nagao
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Paper Abstract

Human faces contain a lot of demographic information such as identity, gender, age, race and emotion. Human being can perceive these pieces of information and use it as an important clue in social interaction with other people. Race perception is considered the most delicacy and sensitive parts of face perception. There are many research concerning image-base race recognition, but most of them are focus on major race group such as Caucasoid, Negroid and Mongoloid. This paper focuses on how people classify race of the racial closely related group. As a sample of racial closely related group, we choose Japanese and Thai face to represents difference between Northern and Southern Mongoloid. Three psychological experiment was performed to study the strategies of face perception on race classification. As a result of psychological experiment, it can be suggested that race perception is an ability that can be learn. Eyes and eyebrows are the most attention point and eyes is a significant factor in race perception. The Principal Component Analysis (PCA) was performed to extract facial features of sample race group. Extracted race features of texture and shape were used to synthesize faces. As the result, it can be suggested that racial feature is rely on detailed texture rather than shape feature. This research is a indispensable important fundamental research on the race perception which are essential in the establishment of human-like race recognition system.

Paper Details

Date Published: 26 February 2010
PDF: 7 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75461R (26 February 2010); doi: 10.1117/12.855659
Show Author Affiliations
Chalothorn Liewchavalit, Polytechnic Univ. (Japan)
Masakazu Akiba, Polytechnic Univ. (Japan)
Yokohama National Univ. (Japan)
Tsuneo Kanno, Polytechnic Univ. (Japan)
Tomoharu Nagao, Yokohama National Univ. (Japan)

Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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