边界卷层次结构中的空间分割

Martin Stich, Heiko Friedrich, Andreas Dietrich
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引用次数: 158

摘要

在现代光线追踪系统中,边界体层次结构(Bounding volume hierarchies, BVH)作为加速结构的一种选择,已被广泛应用于替代kd树。然而,bvh对非均匀镶嵌场景的适应能力较差,导致光线拍摄成本增加。本文提出了一种新颖实用的BVH构建算法,该算法利用类似于kd树的空间分割来解决这一问题。与以前的预处理方法相比,我们的方法使用表面积启发式来控制树构造过程中的原语分裂。我们表明,我们的算法比其他技术产生更有效的层次结构。此外,消除了直接影响分割的用户参数,使算法易于控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial splits in bounding volume hierarchies
Bounding volume hierarchies (BVH) have become a widely used alternative to kD-trees as the acceleration structure of choice in modern ray tracing systems. However, BVHs adapt poorly to non-uniformly tessellated scenes, which leads to increased ray shooting costs. This paper presents a novel and practical BVH construction algorithm, which addresses the issue by utilizing spatial splitting similar to kD-trees. In contrast to previous preprocessing approaches, our method uses the surface area heuristic to control primitive splitting during tree construction. We show that our algorithm produces significantly more efficient hierarchies than other techniques. In addition, user parameters that directly influence splitting are eliminated, making the algorithm easily controllable.
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