Presentation 1999/2/3
Detection of Faces Features by using Symmetry Transform
Akihiko SAWADA, Wataru MITSUHASHI,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) A method of feature detection for human face images is proposed. One of the remarkable features on human faces is "eye", which has a symetrical structure in image intensities. Some symmetrical transforms on image intensities are presented for detecting face features such as eye, nose or mouth. Image areas centered around the detected features are mapped to log-polar coordinates and then processed by auto-correlation to obtain rotation and scale invariance. Finally the auto-correlation is classified in the feature space by primary component analysis. Experimental results are also presented.
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Keyword(in English) Pattern recognition / Face image / Log-polar transform / Symmetry transform / Eye Detection
Paper # EID98-169
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Committee EID
Conference Date 1999/2/3(1days)
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Registration To Electronic Information Displays (EID)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detection of Faces Features by using Symmetry Transform
Sub Title (in English)
Keyword(1) Pattern recognition
Keyword(2) Face image
Keyword(3) Log-polar transform
Keyword(4) Symmetry transform
Keyword(5) Eye Detection
1st Author's Name Akihiko SAWADA
1st Author's Affiliation The University of Electro-Communications()
2nd Author's Name Wataru MITSUHASHI
2nd Author's Affiliation The University of Electro-Communications
Date 1999/2/3
Paper # EID98-169
Volume (vol) vol.98
Number (no) 574
Page pp.pp.-
#Pages 6
Date of Issue