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《Computer Knowledge and Technology》 2018-02
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An Illumination Uneven Detection Method for Facial Skin

YI Huan-yin;WANG Gui-en;PAN Wei-rong;Mechanical and Electrical Engineering of GDCP;  
Some companies urgently need a technique that automatically detects the presence of significant illumination uneven on the face skin in a photo, and gives the direction of the light source when there is a significant illumination uneven. An illumination uneven detection method for human facial skin is proposed. Firstly, face detection is performed by face detection algorithm of OpenCV. Next, face alignment is performed to obtain 66 face feature points. Then, the closed envelope of these feature points is used as the foreground mask given to the GrabCut algorithm, getting the whole face skin from the binary segmentation of the image. Finally, the skin is divided into four regions by using the horizontal and vertical lines passing through the facial center feature point. The average brightness of the skin pixels in these regions is used as a criterion to determine whether the facial illumination is uneven or not and the direction of light. This method is applied to an actual project of some company.
【CateGory Index】: TP391.41
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