关键词: 人脸检测, 多姿态, 肤色区域, 人脸特征, AdaBoost算法, Harr-like特征

Abstract: An improved multi-pose face detection algorithm based on facial features and AdaBoost algorithm was proposed. Making full use of facial skin color information firstly, most of the background regions could be quickly excluded. After detecting eyes and mouth, the approximate frontal face candidate regions were segmented according to face orientation decided by the geometric features of the eyes and mouth regions. At last, the face candidate regions were classified by AdaBoost algorithm. The experimental results demonstrate that the algorithm can further improve the multi-pose face detection accuracy and is highly robust to facial expression and occlusion.

Key words: face detection, multi-pose, skin color region, facial feature, AdaBoost algorithm, Harr-like feature