一般环境下蒙特卡罗路径跟踪的加速

Frederic Pérez, I. Martín, X. Pueyo, F. Sillion
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引用次数: 13

摘要

本文通过结合有限元和蒙特卡罗方法的优势,描述了一种能够比以前的方法更快地计算一般环境(漫射或光滑表面,各向异性散射参与介质)全局照明的两道算法。首先用聚类定向分层方法计算快速粗解。该中间解采用蒙特卡罗方法,通过链路概率和自适应概率密度函数,通过重要抽样加速最终精确解的计算。本文给出了该算法在漫射曲面上的首次实现结果。
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Acceleration of Monte Carlo path tracing in general environments
The paper describes a two pass algorithm capable of computing solutions to the global illumination in general environments (diffuse or glossy surfaces, anisotropically scattering participating media) faster than previous methods, by combining the strengths of finite element and Monte Carlo methods. A quick coarse solution is first computed with a clustered directional hierarchical method. This intermediate solution is used by a Monte Carlo method to accelerate computation of a final accurate solution by importance sampling, by means of link probabilities and adaptive probability density functions. Results from a first implementation of the algorithm for diffuse surfaces are presented.
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