硬件加速了基于sah的边界体层次结构的构建,用于交互式光线跟踪

Michael J. Doyle, Colin Fowler, M. Manzke
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引用次数: 3

摘要

光线追踪算法主要以产生高度逼真的图像而闻名,但也因其高计算成本而闻名。也许加速光线追踪最有效的方法是通过使用空间索引结构,如kd树和边界体层次结构。在高度动态的情况下,这些结构必须经常重建,这占了成像总时间的相当大一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hardware accelerated construction of SAH-based bounding volume hierarchies for interactive ray tracing
The ray tracing algorithm is known primarily for producing highly realistic images, but also for its high computational cost. Perhaps the most effective method for accelerating ray tracing is through the use of spatial index structures, such as kd-trees and bounding volume hierarchies. In highly dynamic scenarios, these structures must be rebuilt frequently, constituting a considerable portion of the total time to image.
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