Tight cocone: a water-tight surface reconstructor

By Tamal K. Dey, Samrat Goswami. ACM Symposium on Solid Modeling and Applications, 2003

403 citations recorded by the source corpus.

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Provably good sampling and meshing of surfaces (2005, background): “– Reconstruction: several algorithms can reconstruct from E a surface that is homeomorphic [3, 4, 8, 19] or even ambient isotopic [5] to S.”
Patient-Specific Vascular NURBS Modeling for Isogeometric Analysis of Blood Flow (2007, methodology): “Starting from a point sample of the surface of the extracted geometry, we reconstruct the surface and compute the interior medial axis transform using publicly available Tight Cocone software [15] based on the algorithms presented in [23, 25].”
Delaunay Triangulation Based Surface Reconstruction: Ideas and Algorithms (2004, methodology): “The Tight Cocone algorithm was designed by Dey and Goswami [DG03] and got its name from the fact that its output is a watertight surface, i.”
Robust reconstruction of watertight 3D models from non-uniformly sampled point clouds without normal information (2006, methodology): “Voronoi based techniques such as [ABK98, ACK01, BC02, DG03] have the advantage of computing output meshes with a complexity in the order of the input data, and produce good results for data sets with known sampling density.”
Provable surface reconstruction from noisy samples (2004, background): “Reconstruction of surfaces with boundaries from noiseless point samples have been addressed [ 11 ].”