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Adaptive Algorithm for Three-Dimensional Mesh Generation Based on Constrained Delaunay

机译:基于约束Delaunay的三维网格自适应生成算法

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Mesh generation is a key step for many areas. Here, an adaptive mesh generation algorithm for piecewise linear domains based on constrained Delaunay is proposed. We focus on improving the quality of the meshes generated and make them conforming to an isotropic size function which is specified by the user. The preliminary mesh with boundaries conforming is generated first. We try to add points to split the mesh either bad shape or not conforming to the size function. The new point can be added to the domain only if it is not close to the existing point in the domain. Finally, local meshes are reconstructed to make all meshes comply with the constrained Delaunay. Experimental comparisons show that the new algorithm is advantageous in generating adaptive mesh. The presented method can be used in a wide range of areas such as computer vision, finite element method and many other areas.
机译:网格生成是许多领域的关键步骤。在此,提出了一种基于约束Delaunay的分段线性域自适应网格生成算法。我们专注于提高生成的网格的质量,并使它们符合用户指定的各向同性尺寸函数。首先生成边界符合的初步网格。我们尝试添加点以分裂形状不好或不符合尺寸函数的网格。仅当新点不靠近域中的现有点时,才可以将其添加到域中。最后,重建局部网格以使所有网格均符合约束的Delaunay。实验比较表明,新算法在生成自适应网格方面具有优势。所提出的方法可以在广泛的领域中使用,例如计算机视觉,有限元方法和许多其他领域。

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