Face Detection Using Geometrical Information of Face and Hair Region 


Vol. 34,  No. 2, pp. 194-199, Feb.  2009


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  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 regions 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.

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  Cite this article

[IEEE Style]

W. Lee, D. Hwang, B. Jun, "Face Detection Using Geometrical Information of Face and Hair Region," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 2, pp. 194-199, 2009. DOI: .

[ACM Style]

Woo-Ram Lee, Dong-Guk Hwang, and Byoung-Min Jun. 2009. Face Detection Using Geometrical Information of Face and Hair Region. The Journal of Korean Institute of Communications and Information Sciences, 34, 2, (2009), 194-199. DOI: .

[KICS Style]

Woo-Ram Lee, Dong-Guk Hwang, Byoung-Min Jun, "Face Detection Using Geometrical Information of Face and Hair Region," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 2, pp. 194-199, 2. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880