Localization of human face based on skin module and skin color segmentation;

Driver's face detection based on Adaboost and skin color segmentation

In this paper,a face detection algorithm based on skin color segmentation,template matching and geometric rule conformation is presented.

Then,the skin segmentation algorithm is used to remove the nonskin color parts in the motion area.

Compared to many face detection methods,this paper proposed an improved face detection approach,which is based on the Adaboost algorithm and skin segmentation.

This paper advances a kind of method for the human face detection based on the skin segmentation and ellipse matching in a colorful picture,and the result shows that this method has certain practicability.

The method of combine complexion segmentation with template matching is proposed,and detection and localization of human face in the case of wearing glasses are realized through improved connected region division algorithm.

At first,this paper presents a method of self-skin segmentation based on Hsu R L s skin color model,to detect human skin in color image correct.