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A New Voronoi-Based Surface Reconstruction Algorithm (1998) [247 citations — 9 self]

Abstract:

We describe our experience with a new algorithm for the reconstruction of surfaces from unorganized sample points in IR 3 . The algorithm is the first for this problem with provable guarantees. Given a "good sample" from a smooth surface, the output is guaranteed to be topologically correct and convergent to the original surface as the sampling density increases. The definition of a good sample is itself interesting: the required sampling density varies locally, rigorously capturing the intuitive notion that featureless areas can be reconstructed from fewer samples. The output mesh interpolates, rather than approximates, the input points. Our algorithm is based on the three-dimensional Voronoi diagram. Given a good program for this fundamental subroutine, the algorithm is quite easy to implement. Keywords: Medial axis, Sampling, Delaunay triangulation, Computational Geometry 1 Introduction The process of turning a set of sample points in IR 3 into a computer graphics model genera...

Citations

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445 Surface reconstruction from unorganized points – Hoppe, DeRose, et al. - 1992
298 Three-dimensional alpha shapes – EDELSBRUNNER, MÜCKE - 1994
211 Surface reconstruction by Voronoi filtering – Amenta, Bern - 1998
205 Geometric compression through topological surgery – Taubin, Rossignac - 1998
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74 Four results on randomized incremental constructions – Clarkson, Mehlhorn, et al. - 1993
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12 A-shapes and their derivatives – Melkemi - 1997
10 The crust and the fi-skeleton: Combinatorial curve reconst ruc tion – Amenta, Bern, et al. - 1998
4 Sampling and reconstructing manifolds using ff-shapes – Bernardini, Bajaj - 1997