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Improving the Selection of Bases of BRDFs for Appearance Preservation

机译:改善外观保存BRDF的基础的选择

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An important step in the appearance preservation of real materials is the analysis of how they interact with light. Since this phenomena happens at a microscopic level, heuristics with different complexity have been developed to capture and reproduce it. In order to minimize sampling efforts, one of these approaches consists in representing the reflectance of a material as a linear combination of a basis of known reflectance functions. To accomplish realistic and efficient representations, this basis must be expressive and contain a reduced number of elements. This work presents three approaches to select such basis. The first one performs an empirical leave-one-out optimization procedure. The other two are based on classical and evolutionary clustering algorithms. To improve clustering results, a new BRDF-oriented fitness function is designed. These approaches are evaluated using NNLS algorithm to estimate sampled materials and a comparison based on numerical precision is performed.
机译:真实材料的外观保存中的重要一步是分析它们如何与光相互作用。由于这种现象是在微观层面发生的,因此开发了具有不同复杂度的试探法来捕获和复制它。为了最小化采样工作,这些方法之一在于将材料的反射率表示为已知反射率函数基础的线性组合。为了实现逼真的和有效的表示,此基础必须具有表达能力,并且包含的​​元素数量要少一些。这项工作提出了选择这种基础的三种方法。第一个执行经验性的留一法最优化程序。另外两个基于经典聚类和进化聚类算法。为了改善聚类结果,设计了一种新的面向BRDF的适应度函数。使用NNLS算法对这些方法进行评估,以估计采样的材料,并基于数值精度进行比较。

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