First Face-region Location Based on a Novel Color Space YCgCr
基于新颜色空间YCgCr的人脸区域初定位

A color balance method is introduced to correct the image color bias of the input images in the RGB color space. A joint skin-color model of luminance and Cg-Cr chroma lookup table is constructed in the new color space YCgCr to detect skin-color regions in the images. Efficient pre-processing techniques are proposed in order to further remove some non-face regions in the skin-color segmentation results, to reduce the searching regions for face location. Finally, some experiments are done on two testing image sets, experimental results show that this skin-color model is effective to detect skin-color regions from the color images with complex backgrounds, also has more robust illumination adaption, and the proposed pre-processing techniques can remove more non-face regions with the guarantee of lower dismissal rates.