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R-LODs: fast LOD-based ray tracing of massive models

机译:R-LOD:大规模模型的基于LOD的快速光线跟踪

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摘要

We present a novel LOD (level-of-detail) algorithm to accelerate ray tracing of massive models. Our approach computes drastic simplifications of the model and the LODs are well integrated with the kd-tree data structure. We introduce a simple and efficient LOD metric to bound the error for primary and secondary rays. The LOD representation has small runtime overhead and our algorithm can be combined with ray coherence techniques and cache-coherent layouts to improve the performance. In practice, the use of LODs can alleviate aliasing artifacts and improve memory coherence. We implement our algorithm on both 32-bit and 64-bit machines and are able to achieve up to 2-20 times improvement in frame rate of rendering models consisting of tens or hundreds of millions of triangles with little loss in image quality.
机译:我们提出了一种新颖的LOD(细节水平)算法来加速大规模模型的光线跟踪。我们的方法极大地简化了模型,并且LOD与kd-tree数据结构很好地集成在一起。我们引入了一种简单有效的LOD度量标准来约束主光线和次光线的误差。 LOD表示具有较小的运行时开销,并且我们的算法可以与射线相干技术和缓存相干布局结合使用以提高性能。在实践中,LOD的使用可以减轻混叠伪影并改善内存一致性。我们在32位和64位计算机上均实现了我们的算法,并且能够将由数以千万计的三角形组成的渲染模型的帧速率提高多达2到20倍,而图像质量几乎没有损失。

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