Compressed-leaf bounding volume hierarchies

Carsten Benthin, I. Wald, Sven Woop, Attila T. Áfra
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引用次数: 17

Abstract

We propose and evaluate what we call Compressed-Leaf Bounding Volume Hierarchies (CLBVH), which strike a balance between compressed and non-compressed BVH layouts. Our CLBVH layout introduces dedicated compressed multi-leaf nodes where most effective at reducing memory use, and uses regular BVH nodes for inner nodes and small, isolated leaves. We show that when implemented within the Embree ray tracing framework, this approach achieves roughly the same memory savings as Embree's compressed BVH layout, while maintaining almost the full performance of its fastest non-compressed BVH.
压缩叶边界卷层次结构
我们提出并评估了我们所谓的压缩叶子边界卷层次结构(CLBVH),它在压缩和非压缩BVH布局之间取得了平衡。我们的CLBVH布局引入了专用的压缩多叶节点,在减少内存使用方面最有效,并使用常规的BVH节点作为内部节点和小的、孤立的叶子。我们表明,当在Embree光线跟踪框架中实现时,这种方法实现了与Embree压缩BVH布局大致相同的内存节省,同时保持了其最快的非压缩BVH的几乎全部性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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