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Texture-based volume rendering of adaptive mesh refinement data

机译:自适应网格细化数据的基于纹理的体绘制

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摘要

Many phenomena in nature and engineering happen simultaneously on rather diverse spatial and temporal scales. In other words, they exhibit a multi-scale character. A special numerical multilevel technique associated with a particular hierarchical data structure is adaptive mesh refinement (AMR). This scheme achieves locally very high spatial and temporal resolutions. Due to its popularity, many scientists are in need of interactive visualization tools for AMR data. In this article, we present a 3D texture-based volume-rendering algorithm for AMR data that directly utilizes the hierarchical structure. Thereby fast rendering performance is achieved even for high-resolution data sets. To avoid multiple rendering of regions that are covered by grids of different levels of resolution, we propose a space partitioning scheme to decompose the volume into axis-aligned regions of equal-sized cells. Furthermore the problems of interpolation artifacts, opacity corrections, and texture memory limitations are addressed.
机译:自然界和工程学中的许多现象在相当不同的时空尺度上同时发生。换句话说,它们表现出多尺度的特征。与特定的分层数据结构关联的一种特殊的数字多级技术是自适应网格细化(AMR)。该方案实现了局部非常高的空间和时间分辨率。由于它的流行,许多科学家需要用于AMR数据的交互式可视化工具。在本文中,我们提出了一种针对AMR数据的基于3D纹理的体绘制算法,该算法直接利用了层次结构。因此,即使对于高分辨率数据集,也可以实现快速渲染性能。为了避免对具有不同分辨率级别的网格覆盖的区域进行多次渲染,我们提出了一种空间分区方案,以将体积分解为大小相同的单元的轴对齐区域。此外,解决了插值伪像,不透明度校正和纹理内存限制的问题。

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