Face Detection Method Based on a New Nonlinear Transformation of Color Spaces
Zhengzhen Zhang, Yuexiang Shi · 2008
In this paper, against Hsu R L skin tone detection algorithm, which has high missing detection ratio when the facial brightness of an image is high, we introduce a new nonlinear transformation method of the YCb "Cr" color skin space, which is the color segmentation of the human face for regional analysis and extraction; Then implement image rotation and template matching. Experimental results indicate that when the facial brightness of an image is high, the new proposed nonlinear color space conversion algorithm based on YCbCr color space is better than the simple method, which wipes off the effect of the brightness directly, and Hsu R L skin detection algorithm. The series of experimental results demonstrate clearly that our new method has a higher detection ratio on high bright facial images, and can drop the false or missing detection ratio on high luminance images. Besides, we have more detailed testing results on the eyes, eyebrows, mouth and other parts.