Human face detection based on skin color model and BDF
基于肤色模型和贝叶斯判别的人脸检测

A frontal face detection system in color images was constructed. First, a skin color information database was established according to the characteristic that skin color is distributed in centralized region along Y axis in YCbCr space. According to the database, skin region could be detected. Second, the Bayesian statistical model using discriminating feature was constructed to detect multiple frontal faces in skin region. Finally, in order to accelerate the face searching, some heuristic searching criteria were defined. The experimental results show that the face detection system uses few of samples, but displays relatively better performance while testing images with complicated background and diverse sources.