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首页> 外文期刊>ACM Transactions on Graphics >Globally Smooth Parameterizations with Low Distortion
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Globally Smooth Parameterizations with Low Distortion

机译:低失真的全局平滑参数化

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Good parameterizations are of central importance in many digital geometry processing tasks. Typically the behavior of such processing algorithms is related to the smoothness of the parameterization and how much distortion it contains. Since a parameterization maps a bounded region of the plane to the surface, a parameterization for a surface which is not homeomorphic to a disc must be made up of multiple pieces. We present a novel parameterization algorithm for arbitrary topology surface meshes which computes a globally smooth parameterization with low distortion. We optimize the patch layout subject to criteria such as shape quality and metric distortion, which are used to steer a mesh simplification approach for base complex construction. Global smoothness is achieved through simultaneous relaxation over all patches, with suitable transition functions between patches incorporated into the relaxation procedure. We demonstrate the quality of our parameterizations through numerical evaluation of distortion measures and the excellent rate distortion performance of semi-regular remeshes produced with these parameterizations. The numerical algorithms required to compute the parameterizations are robust and run on the order of minutes even for large meshes.
机译:在许多数字几何处理任务中,良好的参数设置至关重要。通常,此类处理算法的行为与参数设置的平滑性及其包含的失真程度有关。由于参数化将平面的边界区域映射到表面,因此非圆盘表面的曲面的参数化必须由多段组成。我们为任意拓扑曲面网格提供了一种新颖的参数化算法,该算法计算具有低失真的全局平滑参数化。我们根据形状质量和度量失真等准则优化贴片布局,这些准则用于指导基础复杂结构的网格简化方法。通过同时松弛所有补丁,并在松弛过程中合并的补丁之间使用适当的过渡函数,可以实现全局平滑。我们通过对变形量度的数值评估以及通过这些参数化产生的半规则网格的出色的速率失真性能来证明参数化的质量。即使对于大型网格,计算参数化所需的数值算法也很健壮,并且可以在几分钟内运行。

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