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Dealing with faces illumination variation based on dynamic directional gradient vector flow Snake and gamma algorithm
基于DDGVFSnake和Gamma方法处理人脸光照不均

Keywords: illumination face image,Snake algorithm,Gamma correction,shadow,highlight
光照人脸图像
,Snake算法,Gamma修正,阴影,高光,Gamma,处理方法,人脸,光照不均,algorithm,Snake,gradient,vector,flow,directional,dynamic,based,variation,illumination,faces,精度,恢复,实验,图像灰度,标准库,光照变化,识别

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Abstract:

A new Dynamic Directional Gradient Vector Flow Snake(DDGVF Snake)algorithm was presented which can detect the image shadow and highlight contours of the unknown face images.According to the given standard face database,the image gray median could be computed.Then,the weight nonlinear Gamma gray correct algorithm was proposed to normalize the illumination variation in the unknown face image.Experimental results on the Yale B,CMU-PIE and CAS-PEAL face databases show that the proposed approach is more precise in recovering the unknown face images than other methods.

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