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Face Detection Method Based on Color Constancy and Geometrical Analysis  

Lee, Woo-Ram (Department of Computer Engineering, ChungBuk National University)
Hwang, Dong-Guk (Department of Computer Engineering, ChungBuk National University)
Jun, Byoung-Min (Department of Computer Engineering, ChungBuk National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.48, no.4, 2011 , pp. 59-66 More about this Journal
Abstract
In this paper, we propose a face detection method based on color constancy and geometrical analysis. With the problem about the various colors of skin under scene illuminant, a color constancy method is applied to input images and geometrical analysis is used to detect face regions. At first, the candidates of face or hair are extracted from the image that a color constancy method is applied to, and are classified by some geometrical criterions. And then, face candidates which have some intersectional regions whose total is over a certain size, with hair candidates are selected as faces. Caltech Face DB was used to compare the performance of our method. Also, performance about scene illuminant was evaluated by images which have some illumination effects. The experiment results show that the proposed face detection method was applicable to various facial images because of high true-positive and low false-negative ration.
Keywords
Face Detection; Scene Illuminant; Color Constancy; Face; Hair;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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