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Quantitative assessment of perceived gloss and roughness of material surfaces based on two-dimensional luminance distribution data

机译:基于二维亮度分布数据的材料表面感知光泽和粗糙度的定量评估

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摘要

Color is a major factor that determines appearance of an object surface. The overall appearance of an object surface, however, consists of many other attributes such as gloss, roughness or translucency. This study examined quantitative assessments of perceived gloss and roughness of surfaces of several materials based on two-dimensional luminance distribution data. In the experiment, subjects viewed a surface of the test material and assessed perceptual gloss and roughness of the material using magnitude estimation. We obtained perceptual judgments of the gloss and roughness of the test materials made by 15 subjects. In the analysis, we tried to find physical characteristics of the surface that determine the perceptual appearance of the materials. For the gloss assessment, we assumed that the luminance distribution produced by the test material could be approximated by the addition of the luminance distribution by a specular surface and that by the diffusing surface. The results indicated that the additivity coefficient gave good estimation for the perceived gloss of the materials. Quantitative methods to describe perceived gloss and roughness of a material surface based on luminance distribution data are discussed.
机译:颜色是决定物体表面外观的主要因素。然而,物体表面的整体外观由许多其他属性组成,例如光泽,粗糙度或半透明性。这项研究基于二维亮度分布数据检查了几种材料表面的光泽度和粗糙度的定量评估。在实验中,受试者观察了测试材料的表面,并使用幅度估计来评估材料的感知光泽和粗糙度。我们获得了由15位受试者制作的测试材料的光泽度和粗糙度的感知判断。在分析中,我们试图找到确定材料外观的物理特性。对于光泽度评估,我们假设可以通过将镜面反射表面的亮度分布与漫射表面的亮度分布相加来近似测试材料产生的亮度分布。结果表明,加和系数可以很好地估计材料的光泽感。讨论了基于亮度分布数据描述材料表面的感知光泽和粗糙度的定量方法。

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