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Face Detection using Adaptive Skin Region Extraction  

Hwang, Dae-Dong (숭실대학교 컴퓨터학과)
Park, Young-Jae (숭실대학교 컴퓨터학과)
Kim, Gye-Young (숭실대학교 컴퓨터학과)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.16, no.1, 2010 , pp. 35-44 More about this Journal
Abstract
In this paper, we propose a method about producing skin color model adaptively in input image and face detection. The principle process which we proposed is finding eyes candidates by applying the eye features to neural network, and then using the around color to find the distribution of color value. There will be a verification process that producing face region by using color value distribution which is detected as skin region and find mouth candidate in corresponding face region; if eye candidate and mouth candidate's connection structure is similar with face structure, then it can be judged as a face. Because this method can detect skin region adaptively by finding eyes, we solve the rate of false positive about the distorted skin color which is used by existing face detection methods. The experiment was performed about detecting the eye, the skin, the mouth and the face individually. The results revealed that the proposed technique is better than the traditional techniques.
Keywords
Computer Vision; Image Processing; Face Detection; Eye Detection; Skin Detection;
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Times Cited By KSCI : 1  (Citation Analysis)
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