PATTERN RECOGNITION

Locating human faces in a complex background including non-face skin colors

[+] Author Affiliations
Jinshan Tang, Scott Acton

University of Virginia, Virginia Image and Video Analysis, Department of Electrical and Computer Engineering, Thornton Hall 351, McCormick Road PO Box 400743 Charlottesville, Virginia?22904-4743 E-mail: jt6w@cms.mail.virginia.edu

J. Electron. Imaging. 12(3), 423-430 (Jul 01, 2003). doi:10.1117/1.1579485
History: Received Aug. 15, 2000; Revised Apr. 16, 2002; Revised Jan. 2, 2003; Accepted Jan. 7, 2003; Online July 23, 2003
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We propose a skin-color-based face location algorithm that can locate the human face in a complex background including nonface skin color regions, such as the hands. The algorithm is divided into three steps. The first step involves the use of color components to segment the skin colors from the complex background. The second step detects a curve called the division curve that delineates the boundary between the hair region and the face region. In the last step, the division curve is used to estimate the face region. The proposed algorithm has wide application to problems where the detection of both hands and face is requisite and to problems in which the distribution of skin/hair color can be known a priori. © 2003 SPIE and IS&T.

© 2003 SPIE and IS&T

Topics

Skin

Citation

Jinshan Tang and Scott Acton
"Locating human faces in a complex background including non-face skin colors", J. Electron. Imaging. 12(3), 423-430 (Jul 01, 2003). ; http://dx.doi.org/10.1117/1.1579485


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