首页> 外文期刊>Journal of the Optical Society of America, A. Optics, image science, and vision >Directional statistics-based reflectance model for isotropic bidirectional reflectance distribution functions
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Directional statistics-based reflectance model for isotropic bidirectional reflectance distribution functions

机译:各向同性双向反射分布函数的基于方向统计的反射模型

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摘要

We introduce a novel parametric bidirectional reflectance distribution function (BRDF) model that can accurately encode a wide variety of real-world isotropic BRDFs with a small number of parameters. The key observation we make is that a BRDF may be viewed as a statistical distribution on a unit hemisphere. We derive a novel directional statistics distribution, which we refer to as the hemispherical exponential power distribution, and model real-world isotropic BRDFs as mixtures of it. We derive a canonical probabilistic method for estimating the parameters, including the number of components, of this novel directional statistics BRDF model. We show that the model captures the full spectrum of real-world isotropic BRDFs with high accuracy, but a small footprint. We also demonstrate the advantages of the novel BRDF model by showing its use for reflection component separation and for exploring the space of isotropic BRDFs.
机译:我们介绍了一种新颖的参数化双向反射率分布函数(BRDF)模型,该模型可以用少量参数准确编码各种现实世界的各向同性BRDF。我们得出的主要结论是,BRDF可以看作是单位半球上的统计分布。我们推导了一种新颖的方向统计分布,我们将其称为半球指数幂分布,并对其进行建模以模拟现实世界的各向同性BRDF。我们推导了一种典型的概率方法来估计这种新颖的定向统计BRDF模型的参数,包括组件的数量。我们表明,该模型可以高精度,但占用空间小的方式捕获真实世界各向同性BRDF的全部频谱。我们还通过展示其用于反射成分分离和探索各向同性BRDF的空间来证明新型BRDF模型的优势。

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