Face Detection Based on YCbcr Skin Color Model and SNOW Classifier
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    Abstract:

    Face detection, the first step of face recognition, is significant to application. A novel method for face detection in color images is presented by using YCbCr color space. The skin color segmentation is carried out and this skin-lile region is used to be candidate face. Sparse Network Of Winnows(SNOW)classifier is used to detect face region precisely. With Matlab Programming used in the experiment, the results show that the face detection method, which isn’t limited by expression, is suitable in comples background and in detecting many faces.

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苑岩岩,惠晓威.基于YCbCr肤色模型和SNOW分类器的人脸检测.计算机系统应用,2010,19(1):157-160

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  • Received:May 04,2009
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