gpu辅助的z场简化

A. Bogomjakov, C. Gotsman
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引用次数: 5

摘要

高度域和深度图,我们统称为z域,通常携带大量冗余信息,经常用于实时应用程序。这就是为什么需要有效的方法来简化它们的原因。另一方面,商用图形硬件的计算能力和可编程性已经显著提高。我们提出了一种适用于图形硬件执行的现有实时z场简化方法。算法的主要部分以片段程序的形式在GPU上运行。所得到的多边形模型与原方法得到的多边形模型相同。主要的好处是计算负载被强加在GPU上,释放CPU用于其他任务。此外,与纯CPU实现相比,新方法表现出性能改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GPU-assisted z-field simplification
Height fields and depth maps which we collectively refer to as z-fields, usually carry a lot of redundant information and are often used in real-time applications. This is the reason why efficient methods for their simplification are necessary. On the other hand, the computation power and programmability of commodity graphics hardware has significantly grown. We present an adaptation of an existing real-time z-field simplification method for execution in graphics hardware. The main parts of the algorithm are implemented as fragment programs which run on the GPU. The resulting polygonal models are identical to the ones obtained by the original method. The main benefit is that the computation load is imposed on the GPU, freeing-up the CPU for other tasks. Additionally, the new method exhibits a performance improvement when compared to a pure CPU implementation.
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