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DiagSplit

机译:诊断。

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摘要

We present DiagSplit, a parallel algorithm for adaptively tessellating displaced parametric surfaces into high-quality, crack-free micropolygon meshes. DiagSplit modifies the split-dice tessellation algorithm to allow splits along non-isoparametric directions in the surface's parametric domain, and uses a dicing scheme that supports unique tessellation factors for each subpatch edge. Edge tessellation factors are computed using only information local to subpatch edges. These modifications allow all subpatches generated by DiagSplit to be processed independently without introducing T-junctions or mesh cracks and without incurring the tessellation overhead of binary dicing. We demonstrate that DiagSplit produces output that is better (in terms of image quality and number of micropolygons produced) than existing parallel tessellation schemes, and as good as highly adaptive split-dice implementations that are less amenable to parallelization.
机译:我们呈现DiagPleit,一种并行算法,用于将位移的参数表面自适应地使移位的参数曲面为高质量的无裂缝的微聚磁网。 DiagPlit修改了拆分骰子TESSellation算法,允许沿着表面参数域中的非等偶像序的方向拆分,并使用调制方案,该方案支持每个子点边边缘的独特曲面细分因子。仅使用本地的子点边边缘的信息计算边缘曲面细分因子。这些修改允许独立地处理DiagPleit生成的所有子匹配,而不会引入T-Chronctions或网状裂缝,而不会产生二进制切割的曲折号开销。我们证明DiagPleit产生的输出比现有的并联镶嵌方案更好(在产生的图像质量和产生的微大功率方面),以及与并行化不太可均衡的高度自适应分流的实施方式。

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