基于BVH的面向原始的空间划分

Wei Yan, Jianbin Zhao, Feixue Tang, Shiming Yuan
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引用次数: 0

摘要

本文的目的是设计一种基于边界体层次(Bounding Volume Hierarchy, BVH)的面向原语的空间划分算法,以加快通用计算机的绘制速度。在本文中,我们设计并实现了一个基于面向原语的空间划分的光线追踪程序,取得了比面向空间的空间划分更好的效果。结果表明,与几种三维场景模型相比,面向原始的空间划分分别减少了73.5%和73%的存储成本和时间成本。本文采用面向像素的空间分割,优化了空间分割算法的效率,节省了内存的使用,也减少了分层时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The primitive-oriented spatial partition based on BVH
The purpose of this thesis is to design a primitive-oriented spatial partition algorithm based on the Bounding Volume Hierarchy (BVH) aiming to accelerate the rendering of general computer. In this dissertation, we designed and implemented a ray tracing program based on primitive-oriented spatial partition, achieved better results than space-oriented spatial partition. The results showed that primitive-oriented spatial partition reduced the cost of memory and time by 73.5% and 73% respectively than for several three-dimensional scene models. Using pixel oriented spatial segmentation in this paper will optimize the efficiency of the spatial segmentation algorithm, which would save the memory usage, and also reduce the layered time.
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