Interactive iso-surface ray tracing of massive volumetric data sets

Heiko Friedrich, I. Wald, Johannes Günther, Gerd Marmitt, P. Slusallek
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引用次数: 12

Abstract

The visualization of iso-surfaces from gridded volume data is an important tool in many scientific applications. Today, it is possible to ray trace high-quality iso-surfaces at interactive frame rates even on commodity PCs. However, current algorithms fail if the data set exceeds a certain size either because they are not designed for outof- core data sets or the loading times are too high because there is too much overhead involved in the out-of-core (OOC) techniques. We propose a kD-tree based OOC data structure that allows to ray trace iso-surfaces of large volumetric data sets of many giga bytes at interactive frame rates on a single PC. A LOD technique is used to bridge loading times of data that is fetched asynchronously in the background. Using this framework we are able to ray trace iso-surfaces between 2 and 4 fps on a single dual-core Opteron PC at 640×480 resolution and an in-core memory footprint that is only a fraction of the entire data size.
海量体积数据集的交互式等面射线追踪
从网格体数据中获取等值面是许多科学应用中的重要工具。今天,即使在普通pc上,也可以以交互帧率对高质量的等值面进行光线追踪。然而,如果数据集超过一定的大小,当前的算法就会失败,要么是因为它们不是为外核数据集设计的,要么是因为加载时间太高,因为外核(OOC)技术涉及的开销太大。我们提出了一种基于kd树的OOC数据结构,它允许在单个PC上以交互帧速率对许多千兆字节的大体积数据集的等值面进行光线跟踪。LOD技术用于桥接在后台异步获取的数据的加载时间。使用这个框架,我们能够在单个双核Opteron PC上以640×480分辨率和核心内存占用仅占整个数据大小的一小部分,以2到4 fps的速度跟踪等面。
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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