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- W2159915701 abstract "In this paper, we propose a generalized edge-weighted centroidal Voronoi tessellation (GEWCVT) model and corresponding solution algorithms, then apply them for geometry processing such as curve/surface smoothing and reconstruction. The main idea of the method is to seek a good way to discretize the similarity and regularity measures of the objective functional in the context of centroidal Voronoi tessellation methodology, so that its minimization can be done by clustering-type algorithms. Through various numerical examples, the proposed GEWCVT-based method is shown to be an effective and robust tool for such applications." @default.
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- W2159915701 date "2012-10-01" @default.
- W2159915701 modified "2023-10-18" @default.
- W2159915701 title "Generalized edge-weighted centroidal Voronoi tessellations for geometry processing" @default.
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- W2159915701 doi "https://doi.org/10.1016/j.camwa.2012.07.011" @default.
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