Color-based method for face detection and location
一种基于肤色的人脸检测与定位方法

Integrating with skin color and facial feature, a fast method was proposed for detecting and locating the face. In normalized RGB color space, skin pixels and lop pixels could be extracted by skin lotus. If a candidate face region did not contain lip pixels, it could be eliminated. The intensity of eye region is higher than that of others in the B component of normalized RGB color space because of sclera and pupil glisten. A region growing method was used to produce potential eyes, and then the geometry feature of eyes and lip were used to locate the face. The results of experiments indicate that the proposed method is robust and effective.