Face Detection Based on Dual-Skin Color Model and AdaBoost Algorithm

Focusing on face detection problems of color still image under the conditions of the complex background and variable illumination,an adoption of taking a comprehensive utilization of YCbCr and HSI color model,first conducting skin color segmentation to position the candidate's face,and then using AdaBoost cascade classifier to test and verify,will be beneficial to improving the detect efficiency and reducing the rate of false.