双向偏振光传输

Michal Mojzík, Tomás Skrivan, A. Wilkie, Jaroslav Křivánek
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引用次数: 13

摘要

虽然在计算机图形学中已经有相当多的关于偏振渲染的应用研究,但到目前为止,还没有关于包含偏振信息如何影响用于描述光传输算法的数学形式的原则性研究。简单的单向渲染技术不一定需要这样的考虑:但对于现代双向光传输模拟算法,需要一个深入的解决方案。本文首先根据Stokes矢量形式定义了偏振光的输运方程。然后,我们定义了极化视觉重要性的概念,并表明它可以方便地用4 x 4矩阵表示,类似于用于表示极化表面反射率的穆勒矩阵。在此基础上,我们定义了极化重要性的伴随输运方程。此外,我们写出了偏振光的路径积分公式,并指出了它与通常的光强公式的显著区别。基于上述公式,我们扩展了最近提出的一些先进的光传输模拟算法,以支持偏振光的表面和体积传输。在此过程中,我们指出了优化策略,可用于通过将极化支持纳入此类算法来最小化开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bi-Directional Polarised Light Transport
While there has been considerable applied research in computer graphics on polarisation rendering, no principled investigation of how the inclusion of polarisation information affects the mathematical formalisms that are used to describe light transport algorithms has been conducted so far. Simple uni-directional rendering techniques do not necessarily require such considerations: but for modern bi-directional light transport simulation algorithms, an in-depth solution is needed. In this paper, we first define the transport equation for polarised light based on the Stokes Vector formalism. We then define a notion of polarised visual importance, and we show that it can be conveniently represented by a 4 x 4 matrix, similar to the Mueller matrices used to represent polarised surface reflectance. Based on this representation, we then define the adjoint transport equation for polarised importance. Additionally, we write down the path integral formulation for polarised light, and point out its salient differences from the usual formulation for light intensities. Based on the above formulations, we extend some recently proposed advanced light transport simulation algorithms to support polarised light, both in surface and volumetric transport. In doing that, we point out optimisation strategies that can be used to minimise the overhead incurred by including polarisation support into such algorithms.
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