Abstract:

The AdaBoost algorithm is not ideal in multiview face detection,and the skin color model has a high false alarm rate under the complex background.This paper presents a method of rotating images form flank to frontal, which combines face detection based with the AdaBoost algorithm and the Skin Color Model. This method is mainly to rotate images, and makes different angle faces detected, then makes eyes detected, if the position satisfies the condition by calculating the position between the two eyes. A final verification is performed  by the skin color model. The final key is inversion calculation, which draws the face location. Experiments prove that this method is adaptive to different views.

Key words: face detection;AdaBoost;classifier;eye detection;skin color model