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Lepp Terminal Centroid Method for Quality Triangulation: A Study on a New Algorithm

机译:LEPP终端质心法质量三角测量方法:一种新算法研究

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We introduce a new Lepp-Delaunay algorithm for quality triangulation. For every bad triangle t with smallest angle less than a threshold angle θ, a Lepp-search is used to find an associated convex terminal quadrilateral formed by the union of two terminal triangles which share a local longest edge (terminal edge) in the mesh. The centroid of this terminal quad is computed and Delaunay inserted in the mesh. The algorithm improves the behavior of a previous Lepp-Delaunay terminal edge midpoint algorithm. The centroid method computes significantly smaller triangulation than the terminal edge midpoint variant, produces globally better triangulations, and terminates for higher threshold angle θ (up to 36°). We present geometrical results which explain the better performance of the centroid method. Also the centroid method behaves better than the off-center algorithm for θ bigger than 25°.
机译:我们介绍了一种新的LEPP-Delaunay算法,用于质量三角测量。对于小于阈值角度θ的最小角度的每个坏三角形T,LEPP搜索用于找到由两个终端三角形的联合形成的相关凸终端四边形,其在网格中共用局部最长边缘(端子边缘)。计算该终端Quad的质心,并在网格中插入Delaunay。该算法提高了先前LEPP-DEPAUNAINATE终端边缘中点算法的行为。质心方法计算比终端边缘中点变型显着更小的三角测量,产生全局更好的三角形,并且终止于更高的阈值角θ(高达36°)。我们提出了解释质心方法的更好性能的几何结果。此外,质心方法的表现比大于25°的θ偏心算法。

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