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Face Detection Using Geometrical Information of Face and Hair Region  

Lee, Woo-Ram (충북대학교 컴퓨터공학과 컴퓨터비전 연구실)
Hwang, Dong-Guk (충북대학교 컴퓨터공학과 컴퓨터비전 연구실)
Jun, Byoung-Min (충북대학교 전기전자컴퓨터공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.34, no.2C, 2009 , pp. 194-199 More about this Journal
Abstract
This paper proposes a face detection algorithm that uses geometrical information on face and hair region. This information that face adjoins hair regions can be the important one for face detection. It is also kept in images with frontal, rotated and lateral face. The face candidates are founded by the analysis of skin regions after detecting the skin and hair color regions in an image. Next, the intersected lesions between face candidates and hair's are created. Finally, the face candidates that include the subsets of these regions turn out to be face. Experimental results showed the high detection rates for frontal and lateral faces as well as faces geometrically distorted.
Keywords
Face; Hair; Face detection; Computer vision;
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