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Parallel View-Dependent Level-of-Detail Control

机译:依赖于视图的并行详细程度控制

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We present a scheme for view-dependent level-of-detail control that is implemented entirely on programmable graphics hardware. Our scheme selectively refines and coarsens an arbitrary triangle mesh at the granularity of individual vertices to create meshes that are highly adapted to dynamic view parameters. Such fine-grain control has previously been demonstrated using sequential CPU algorithms. However, these algorithms involve pointer-based structures with intricate dependencies that cannot be handled efficiently within the restricted framework of GPU parallelism. We show that by introducing new data structures and dependency rules, one can realize fine-grain progressive mesh updates as a sequence of parallel streaming passes over the mesh elements. A major design challenge is that the GPU processes stream elements in isolation. The mesh update algorithm has time complexity proportional to the selectively refined mesh, and moreover, can be amortized across several frames. The result is a single standard index buffer that can be used directly for rendering. The static data structure is remarkably compact, requiring only 57 percent more memory than an indexed triangle list. We demonstrate real-time exploration of complex models with normals and textures, as well as shadowing and semitransparent surface rendering applications that make direct use of the resulting dynamic index buffer.
机译:我们提出了一种基于视图的详细程度控制方案,该方案完全在可编程图形硬件上实现。我们的方案以单个顶点的粒度选择性地细化和粗化任意三角形网格,以创建高度适合动态视图参数的网格。先前已经使用顺序CPU算法演示了这种细粒度控制。但是,这些算法涉及具有复杂依赖性的基于指针的结构,这些结构在GPU并行性的受限框架内无法有效处理。我们表明,通过引入新的数据结构和依赖性规则,随着一系列并行流通过网格元素,可以实现细粒度的渐进式网格更新。一个主要的设计挑战是GPU孤立地处理流元素。网格更新算法的时间复杂度与选择性精炼的网格成正比,而且可以在多个帧之间进行摊销。结果是可以直接用于渲染的单个标准索引缓冲区。静态数据结构非常紧凑,只需要比索引三角列表多57%的内存。我们演示了实时探索具有法线和纹理的复杂模型,以及直接使用所得动态索引缓冲区的阴影和半透明表面渲染应用程序。

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