Skin detection with illumination adaptation in single image

This paper presents a novel method of skin detection in single image with illumination adaption. In this method, both the input image and the skin model will be updated dynamically using skin color region projection and skin model fusion respectively. These two steps are based on the illumination model which is derived from the clustering of the training material. Histogram model is used as the basic detection method. The experimental result shows the proposed method improved the performance obviously.