Abstract:

The current method for the detection of human faces is mostly the frontalview detection, while the multiview detection is still difficult, with few effective methods. Considering the rotation face and side face, this paper presents a multiview face detection method. For rotating on the plane, we generate a human skin model in the YCbCr color space. After treatment, the elliptic color area of face is determined. Then, using the gray weighting of the principal component analysis algorithm for angle correction,we obtain the correction face image. For the side face, through the face set of two directions of up or down and left or right, we train the classifier, and combine them into a parallel connection classifier for validation. Experiments prove that this method is adaptive to different viewpoint face and has a high face detection rate.

Key words: face detection;multiview;skin model;angularity correction;parallel connection classifier