The research of face detection based on double skin model and Adaboost algorithm

To resolve the problem that the face detection is slow and detection efficiency is low in complex background, this thesis adopts double color space for color modeling based on YCbCr color space and RGB color space, and on this basis we adopt Adaboost algorithm for face detection. Based on the research of Adaboost algorithm, this thesis proposes improvements on the Adaboost training process and detecting process. Finally, by the experiments we demonstrate that the improved algorithm can improve the efficiency and reduce the false rate of the traditional Adaboost algorithm.