首页> 外国专利> Method and apparatus for estimating a special reflectance distribution or a spectral transmittance distribution using illuminant- independent characteristic parameters

Method and apparatus for estimating a special reflectance distribution or a spectral transmittance distribution using illuminant- independent characteristic parameters

机译:使用与光源无关的特征参数估计特殊反射率分布或光谱透射率分布的方法和设备

摘要

A neural network is made to undergo learning such that at least three characteristic parameters, which correspond to an inputted set of color information values when the set of color information values, including at least three color information values, is inputted and which are obtained by multivariate analysis of the spectral reflectance distribution or the spectral transmittance distribution, are outputted. A subject set of color information values is transformed into the characteristic parameters by using the neural network which has completed learning, and a spectral reflectance distribution or a spectral transmittance distribution is estimated by linear polynomial approximation using the transformed characteristic parameters, eigenvectors obtained by the multivariate analysis, and a mean vector of the spectral reflectance distribution or the spectral transmittance distribution.
机译:使神经网络进行学习,使得当输入包括至少三个颜色信息值的颜色信息值的集合并通过多元获得时,至少三个特征参数对应于输入的颜色信息值的集合。输出光谱反射率分布或光谱透射率分布的分析。使用已完成学习的神经网络将颜色信息值的主题集转换为特征参数,并使用变换后的特征参数通过线性多项式近似估计光谱反射率分布或光谱透射率分布,并通过多元获得特征向量分析,以及光谱反射率分布或光谱透射率分布的均值向量。

著录项

  • 公开/公告号US5864834A

    专利类型

  • 公开/公告日1999-01-26

    原文格式PDF

  • 申请/专利权人 TOKYO INK MANUFACTURING CO. LTD.;

    申请/专利号US19950409016

  • 发明设计人 YOSHIHUMI ARAI;

    申请日1995-03-23

  • 分类号G06F15/18;

  • 国家 US

  • 入库时间 2022-08-22 02:08:47

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