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Automated modeling of reflectance properties for industrial plant primitives

机译：工业工厂基元反射特性的自动建模

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摘要

This paper outlines a method for determining reflectance parameters for modeling and rendering industrial plant primitives. The reflectance parameters are diffuse and specular material properties and the industrial plant primitives are pipes from raw LiDAR brightness data. For diffuse reflectance, the Lambertian model is compared to the Oren-Nayar model, and methods for estimating both are presented. For specular reflectance, the Phong model, commonly used in computer graphics, is used. The brightness data acquired from LiDAR systems are modeled as two different ideal cylinders to recover the diffuse and specular reflectance parameters and to illustrate the proposed method. A measured cylinder using brightness data acquired from a LiDAR scanner is also analyzed, and the diffuse and specular reflectance parameters are estimated.. The estimate for the specular coefficient and exponent of the ideal cylinder are within 3.5% and 3.6%, respectively and the estimate for the Lambertian reflectance albedo for the ideal cylinder is within 0.02% of the actual value. The estimate for the diffuse reflectance and roughness parameters for the second ideal cylinder are within 0.3% and 1.2%, respectively. The estimated reflectance model of the measured cylinder have a mean relative error of 2.88% and a standard deviation of relative error of 4.0%.
机译：本文概述了一种确定反射率参数的方法，该反射率参数用于建模和渲染工业工厂基元。反射率参数是漫反射和镜面反射的材料特性，而工厂的原始图元是来自原始LiDAR亮度数据的管道。对于漫反射，将Lambertian模型与Oren-Nayar模型进行了比较，并提出了两种估计方法。对于镜面反射，使用计算机图形中常用的Phong模型。从LiDAR系统获取的亮度数据被建模为两个不同的理想圆柱体，以恢复漫反射和镜面反射率参数并说明所提出的方法。还分析了使用从LiDAR扫描仪获取的亮度数据测量的圆柱体，并估计了漫反射和镜面反射率参数。理想圆柱体的镜面反射系数和指数的估计分别在3.5％和3.6％之内，并且该估计理想圆柱的朗伯反射率的反照率在实际值的0.02％以内。第二理想圆柱体的漫反射率和粗糙度参数的估计分别在0.3％和1.2％之内。被测圆柱体的估计反射率模型的平均相对误差为2.88％，相对误差的标准偏差为4.0％。

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