大量几何环境的核心外渲染

Gokul Varadhan, Dinesh Manocha
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引用次数: 72

摘要

我们提出了一种外部存储算法,用于快速显示非常大和复杂的几何环境。我们使用场景图来表示模型,并采用不同的筛选技术来加速渲染。我们的算法使用并行方法来渲染场景,并以同步方式从磁盘获取对象。我们提出了一种新的优先预取技术,该技术考虑了连续帧之间的lod切换和基于可见性的事件。我们已经将我们的算法应用到由数千个物体和数千万个多边形组成的大型gb大小的环境中。我们算法的内存开销是输出敏感的,通常是几十兆字节。在实践中,我们的方法随模型大小而缩放,其渲染性能可与内核算法相媲美。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Out-of-core rendering of massive geometric environments
We present an external memory algorithm for fast display of very large and complex geometric environments. We represent the model using a scene graph and employ different culling techniques for rendering acceleration. Our algorithm uses a parallel approach to render the scene as well as fetch objects from the disk in a synchronous manner. We present a novel prioritized prefetching technique that takes into account LOD-switching and visibility-based events between successive frames. We have applied our algorithm to large gigabyte-sized environments that are composed of thousands of objects and tens of millions of polygons. The memory overhead of our algorithm is output sensitive and is typically tens of megabytes. In practice, our approach scales with the model sizes, and its rendering performance is comparable to that of an in-core algorithm.
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