平行渐进式辐射的实现结果及分析

P. Guitton, J. Roman, Gilles Subrenat
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引用次数: 15

摘要

合成图像的质量首先取决于三维场景可视化的建模质量;几何和光学细节越多,生成的图像就越逼真。不幸的是,这样的场景描述需要大量的内存,以及长时间的计算。为了处理这些限制,我们提出了一种扩展的随机渐进辐射方法的并行实现,其中形状因子用光线跟踪方案计算,在具有分布式存储器和消息传递机制的处理器网络上。我们的程序已经处理了非常大的场景(例如超过一百万个补丁)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation results and analysis of a parallel progressive radiosity
The quality of synthetic images depends, first, on the quality of the modelling of the three-dimensional scenes to visualize; more numerous are the geometrical and optical details, more realistic are the resulting images. Unfortunately, such scene descriptions need a big amount of memory, as well as a long time of computation. In order to deal with these restrictions, we propose a parallel implementation for an extended stochastic progressive radiosity method, where form factors are computed with a ray tracing scheme, on a network of processors with a distributed memory and a message passing mechanism. Our program has already treated very big scenes (more than one million patches for example).
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