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METHOD FOR ILLUMINATION NORMALIZATION ON A DIGITAL IMAGE FOR PERFORMING FACE RECOGNITION

机译:进行人脸识别的数字图像照明归一化方法

摘要

A method for performing illumination normalization on a digital image, comprising : a) receiving an input image; b) determining, for each pixel, a first adaptation factor F1(p); c) applying to said input image a first adaptive non linear function using said first adaptation factor F1(p) to get a first modified image (Ila1); d) determining, for each pixel, a second adaptation factor F2(p) using the first modified image (Ila1); e) applying to the resulting image (Ila1) of step c a second adaptive non linear function using said second adaptation factor F2(p) to get a second modified image (IIa2); f) applying to the resulting image (Ila2) of step e a Difference of Gaussians (DoG) filter to get a normalized image (In). A face recognition system and a method for performing face recognition are also provided.
机译:一种对数字图像进行照明归一化的方法,包括:a)接收输入图像;以及b)为每个像素确定第一适应因子F1(p); c)使用所述第一自适应因子F1(p)将第一自适应非线性函数应用于所述输入图像以获得第一修改图像(Ila1); d)使用第一修改图像(Ila1)为每个像素确定第二适应因子F2(p); e)使用所述第二适应因子F2(p)将第二自适应非线性函数应用于步骤c的结果图像(Ila1),以获得第二修正图像(IIa2); f)在步骤e的结果图像(Ila2)上应用高斯差(DoG)滤镜以获取归一化图像(In)。还提供了面部识别系统和用于执行面部识别的方法。

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