TetFusion: an algorithm for rapid tetrahedral mesh simplification

Prashant Chopra, Joerg Meyer
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引用次数: 61

Abstract

This paper introduces an algorithm for rapid progressive simplification of tetrahedral meshes: TetFusion. We describe how a simple geometry decimation operation steers a rapid and controlled progressive simplification of tetrahedral meshes, while also taking care of complex mesh-inconsistency problems. The algorithm features a high decimation ratio per step, and inherently discourages any cases of self-intersection of boundary, element-boundary intersection at concave boundary-regions, and negative volume tetrahedra (flipping). We achieved rigorous reduction ratios of up to 98% for meshes consisting of 827,904 elements in less than 2 minutes, progressing through a series of level-of-details (LoDs) of the mesh in a controlled manner. We describe how the approach supports a balanced re-distribution of space between tetrahedral elements, and explain some useful control parameters that make it faster and more intuitive than 'edge collapse'-based decimation methods for volumetric meshes. Finally, we discuss how this approach can be employed for rapid LoD prototyping of large time-varying datasets as an aid to interactive visualization.
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TetFusion:一种快速四面体网格简化算法
介绍了一种四面体网格快速递进化简算法:TetFusion。我们描述了一个简单的几何抽取操作如何引导一个快速和可控的四面体网格逐步简化,同时也照顾复杂的网格不一致问题。该算法具有每步抽取率高的特点,并且固有地阻止边界自交、凹边界区域元边界交和负体积四面体(翻转)的任何情况。我们在不到2分钟的时间内,对由827,904个元素组成的网格实现了高达98%的严格减少率,并以可控的方式完成了网格的一系列细节水平(LoDs)。我们描述了该方法如何支持四面体元素之间空间的平衡重新分配,并解释了一些有用的控制参数,使其比基于“边缘折叠”的体积网格抽取方法更快、更直观。最后,我们讨论了如何将这种方法用于大型时变数据集的快速LoD原型设计,以辅助交互式可视化。
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