Face Localization in Color Images Based on Skin Color and Eye Gradient
In color images, skin color is the important information on human face. This paper proposes a method to detect and locate human face rapidly based on skin color information and eye gradient. First, normalized RGB space is converted to HSV space; Secondly, the images are pretreated by smoothing and light compensation to overcome the uneven illumination changes, and then the defined skin color model is used to determine candidate regions of the human face, finally the human face is located accurately through eye localization based on gradient template. Experiments show that the method is fast and effective.
Y. J. Liang et al., "Face Localization in Color Images Based on Skin Color and Eye Gradient", Advanced Materials Research, Vols. 268-270, pp. 1382-1385, 2011