An Adaptive BRDF Fitting Metric
An Adaptive BRDF Fitting Metric
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自适应 BRDF 拟合指标
DOI：
10.1111/cgf.14054
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发表时间：
2020
影响因子：
2.5
通讯作者：
Peers, P.
中科院分区：
文献类型：
--
作者：
Bieron, J.;Peers, P.
我们提出了一种新的图像驱动的各向同性BRDF拟合策略。而现有的BRDF拟合方法最大限度地减少成本函数直接对拟合的分析BRDF和测量的各向同性BRDF样本之间的误差，我们还考虑到所得到的材料外观的BRDF的可视化。这种拟合范例的改变提高了外观再现保真度，特别是对于缺乏再现测量的表面反射率的表现力的分析BRDF模型。我们将BRDF拟合公式化为两阶段过程，首先仅基于BRDF误差和测量的BRDF样本生成一系列候选BRDF拟合。接下来，从这些候选中，我们选择使视觉误差最小化的BRDF拟合。我们证明了Cook-Torrance和GGX微面BRDF模型的定性和定量拟合改善。此外，我们提出了BRDF拟合结果的分析，并表明图像驱动的各向同性BRDF拟合很好地推广到其他光照条件，并且根据测量的材料，需要对测量的BRDF进行不同的误差加权。
We propose a novel image‐driven fitting strategy for isotropic BRDFs. Whereas existing BRDF fitting methods minimize a cost function directly on the error between the fitted analytical BRDF and the measured isotropic BRDF samples, we also take into account the resulting material appearance in visualizations of the BRDF. This change of fitting paradigm improves the appearance reproduction fidelity, especially for analytical BRDF models that lack the expressiveness to reproduce the measured surface reflectance. We formulate BRDF fitting as a two‐stage process that first generates a series of candidate BRDF fits based only on the BRDF error with measured BRDF samples. Next, from these candidates, we select the BRDF fit that minimizes the visual error. We demonstrate qualitatively and quantitatively improved fits for the Cook‐Torrance and GGX microfacet BRDF models. Furthermore, we present an analysis of the BRDF fitting results, and show that the image‐driven isotropic BRDF fits generalize well to other light conditions, and that depending on the measured material, a different weighting of errors with respect to the measured BRDF is necessary.
用于粗糙表面预测渲染的光谱地面实况数据的采集和验证
DOI：
--
发表时间：
2018
期刊：
Computer graphics forum (Print)
影响因子：
--
作者：
Olaf Clausen;R. Marroquim;Arnulph Fuhrmann
通讯作者：
Arnulph Fuhrmann
影响因子：
2.5
作者：
V. Havran;J. Filip;K. Myszkowski
通讯作者：
V. Havran;J. Filip;K. Myszkowski
建立基于感知的 BRDF 建模指标
影响因子：
2.5
作者：
A. Forés;J. Ferwerda;Jinwei Gu
通讯作者：
Jinwei Gu