Face Detection Based on Skin Gaussian Model and KL Transform

For face detection in complex background pictures with single or multiple faces, this paper presents a new face-detection method. In YCbCr chrominance space, the distribution of the skin color is described as a Gaussian model and presented as a likelihood image. Otsu method is used to segment the skin pixels; At the same time, the skin regions are located in the KL skin color space, finally the two segmentation results under two chrominance spaces (YCbCr and KL) are fused at the pixel level. Experimental results show that this approach gets a more robust and accurate performance in detecting faces than in any single color space.