Presentation 1999/11/18
Detection of Human Faces in a Color Image with Complex Background
Ryo-ichi NAGATA, Tsuyoshi KAWAGUCHI,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper we propose an algorithm to detect faces in a color image with complex background. The algorithm models faces by upright ellipses. And, inside each ellipse, a hair region and a skin region are defined. Generating ellipses, the algorithm computes a score for each ellipse. The score is given by the sum of three terms. The first term measures the fit of the boundary of the hair region to the edge map. The second term measures the fit of the skin region to the color map. The third term measures the fit of the hair region to the intensity map. And, the algorithm selects the candidates of faces from the generated ellipses according to nonincreasing order of their scores.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) face recognition / face detection / skin color / edge image
Paper # PRMU99-111
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Conference Information
Committee PRMU
Conference Date 1999/11/18(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detection of Human Faces in a Color Image with Complex Background
Sub Title (in English)
Keyword(1) face recognition
Keyword(2) face detection
Keyword(3) skin color
Keyword(4) edge image
1st Author's Name Ryo-ichi NAGATA
1st Author's Affiliation Department of Computer Science and Intelligent Systems, Oita University()
2nd Author's Name Tsuyoshi KAWAGUCHI
2nd Author's Affiliation Department of Computer Science and Intelligent Systems, Oita University
Date 1999/11/18
Paper # PRMU99-111
Volume (vol) vol.99
Number (no) 448
Page pp.pp.-
#Pages 6
Date of Issue