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Hardware-assisted visibility sorting for unstructured volume rendering

机译:硬件辅助的可见性排序,用于非结构化体积渲染

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Harvesting the power of modern graphics hardware to solve the complex problem of real-time rendering of large unstructured meshes is a major research goal in the volume visualization community. While, for regular grids, texture-based techniques are well-suited for current GPUs, the steps necessary for rendering unstructured meshes are not so easily mapped to current hardware. We propose a novel volume rendering technique that simplifies the CPU-based processing and shifts much of the sorting burden to the GPU, where it can be performed more efficiently. Our hardware-assisted visibility sorting algorithm is a hybrid technique that operates in both object-space and image-space. In object-space, the algorithm performs a partial sort of the 3D primitives in preparation for rasterization. The goal of the partial sort is to create a list of primitives that generate fragments in nearly sorted order. In image-space, the fragment stream is incrementally sorted using a fixed-depth sorting network. In our algorithm, the object-space work is performed by the CPU and the fragment-level sorting is done completely on the GPU. A prototype implementation of the algorithm demonstrates that the fragment-level sorting achieves rendering rates of between one and six million tetrahedral cells per second on an ATI Radeon 9800.
机译:在体积可视化社区中,收获现代图形硬件的功能以解决大型非结构化网格的实时渲染这一复杂问题是主要的研究目标。虽然对于常规网格,基于纹理的技术非常适合当前的GPU,但渲染非结构化网格所需的步骤却不那么容易映射到当前的硬件。我们提出了一种新颖的体绘制技术,该技术可简化基于CPU的处理并将大部分排序负担转移给GPU,从而可以更高效地执行它。我们的硬件辅助可见性排序算法是一种混合技术,可在对象空间和图像空间中运行。在对象空间中,该算法执行3D图元的部分排序以准备进行栅格化。部分排序的目的是创建一个基元列表,这些基元以几乎排序的顺序生成片段。在图像空间中,使用固定深度的排序网络对片段流进行增量排序。在我们的算法中,对象空间工作由CPU执行,而片段级排序则完全在GPU上完成。该算法的原型实现证明,片段级排序在ATI Radeon 9800上实现了每秒一到600万个四面体单元的渲染速率。

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