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image processing system, learning method for main neural network and preprocessing of a system, image processing method and biometric identification method

机译:图像处理系统,主神经网络的学习方法以及系统的预处理,图像处理方法和生物特征识别方法

摘要

image processing system (1) (4) comprising a main neural network (2), preferably convolution-based (cnn), and at least one preprocessing neural network (6), preferably convolution-based , upstream of the main neural network (2), to be performed prior to processing by the main neural network (2) at least one parametric transform f, differentiable in its parameters, this transform to be applied to at least a part of the image pixels and as p is a processed pixel of the original image, or a decomposition of this image, p 'is the pixel of the transformed image or its decomposition, v (p) is an immediate vicinity of a pet pixel or a parameter vector, at least part of the preprocessor neural network (6) learning is performed simultaneously with the main neural network (2).
机译:图像处理系统(1)(4),包括一个主神经网络(2),最好是基于卷积(cnn),以及至少一个预处理神经网络(6),最好是基于卷积,位于主神经网络(2)的上游),由主神经网络(2)在处理之前执行至少一个参数变换f,该参数变换的参数可区分,该变换将应用于至少一部分图像像素,并且p是原始图像或该图像的分解,p'是变换后的图像或其分解的像素,v(p)是Pet像素或参数向量的直接邻近区域,至少是预处理器神经网络的一部分( 6)与主神经网络(2)同时进行学习。

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