非结构化网格上多边形等面表示的硬件加速重建

T. Klein, S. Stegmaier, T. Ertl
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引用次数: 71

摘要

利用等值面提取进行体可视化是一个研究得很好的课题。研究表明,即使对于非结构化网格,利用现代gpu的并行处理能力也可以实现每秒数百万个四面体的峰值性能。在本文中,我们提出了一个硬件加速的解决方案,进一步提高了提取性能。与现有方法相反,我们的技术通过仅渲染单个屏幕大小的四边形来显式地提取片段程序中的等面几何形状。提取的几何图形直接写入板载图形内存对象,允许直接渲染而无需进一步的总线传输。此外,几何图形可以由着色器程序操作或读取回应用程序进行进一步处理。给出了可以从我们的方法中受益的示例和应用场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hardware-accelerated reconstruction of polygonal isosurface representations on unstructured grids
Volume visualization using isosurface extraction is a well-researched topic. Research demonstrated that even for unstructured grids peak performances of millions of tetrahedra per second can be achieved by exploiting the parallel processing capabilities of modern GPUs. In this paper we present a hardware-accelerated solution that further improves the extraction performance. In contrary to existing approaches, our technique explicitly extracts the isosurface geometry in a fragment program by rendering only a single screen-sized quadrilateral. The extracted geometry is directly written to an on-board graphics memory object allowing for direct rendering without further bus transfers. Additionally, the geometry can be manipulated by shader programs or read back to the application for further processing. Examples and application scenarios are given that can benefit from our approach.
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