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Splat-based surface reconstruction from defect-laden point sets

We introduce a method for surface reconstruction from point sets that is able to cope with noise and outliers. First, a splat-based representation is computed from the point set. A robust local 3D RANSAC-based procedure is used to filter the point set for outliers, then a local jet surface - a low-degree surface approximation - is fitted to the inliers. Second, we extract the reconstructed surface in the form of a surface triangle mesh through Delaunay refinement. The Delaunay refinement meshing approach requires computing intersections between line segment queries and the surface to be meshed. In the present case, intersection queries are solved from the set of splats through a 1D RANSAC procedure

This work was partially funded through MINECO under Grant CTM2010-15216, the EU under Grant FP7-ICT-2011-7-288704 and the European Research Council (ERC Starting Grant "Robust Geometry Processing", Grant Agreement No. 257474)

The authors thank the Stanford 3D Scanning Repository (Stanford University Computer Graphics Laboratory), Michael Kazhdan (Johns Hopkins University), the AIM@-SHAPE consortium (the ISTI-CNR Visual Computing Laboratory and Inria), Renaud Keriven and Jean-Philippe Pons for providing the models used in this paper. This work was partially funded through MINECO under Grant CTM2010-15216, the EU under Grant FP7-ICT-2011-7-288704 and the European Research Council (ERC Starting Grant "Robust Geometry Processing", Grant Agreement No. 257474)

漏 Graphical Models, 2013, vol. 75, p. 346-361

Elsevier

Manager: Ministerio de Ciencia e Innovaci贸n (Espanya)
Author: Campos Daus脿, Ricard
Garc铆a Campos, Rafael
Alliez, Pierre
Yvinec, Mariette
Date: 2013
Abstract: We introduce a method for surface reconstruction from point sets that is able to cope with noise and outliers. First, a splat-based representation is computed from the point set. A robust local 3D RANSAC-based procedure is used to filter the point set for outliers, then a local jet surface - a low-degree surface approximation - is fitted to the inliers. Second, we extract the reconstructed surface in the form of a surface triangle mesh through Delaunay refinement. The Delaunay refinement meshing approach requires computing intersections between line segment queries and the surface to be meshed. In the present case, intersection queries are solved from the set of splats through a 1D RANSAC procedure
This work was partially funded through MINECO under Grant CTM2010-15216, the EU under Grant FP7-ICT-2011-7-288704 and the European Research Council (ERC Starting Grant "Robust Geometry Processing", Grant Agreement No. 257474)
The authors thank the Stanford 3D Scanning Repository (Stanford University Computer Graphics Laboratory), Michael Kazhdan (Johns Hopkins University), the AIM@-SHAPE consortium (the ISTI-CNR Visual Computing Laboratory and Inria), Renaud Keriven and Jean-Philippe Pons for providing the models used in this paper. This work was partially funded through MINECO under Grant CTM2010-15216, the EU under Grant FP7-ICT-2011-7-288704 and the European Research Council (ERC Starting Grant "Robust Geometry Processing", Grant Agreement No. 257474)
Format: application/pdf
ISSN: 1524-0703
Document access: http://hdl.handle.net/10256/10322
Language: eng
Publisher: Elsevier
Collection: MICINN/PN 2011-2014/CTM2010-15216
Reproducci贸 digital del document publicat a: http://dx.doi.org/10.1016/j.gmod.2013.08.001
Articles publicats (D-ATC)
info:eu-repo/grantAgreement/EC/FP7/288704
info:eu-repo/grantAgreement/EC/FP7/257474
Is part of: 漏 Graphical Models, 2013, vol. 75, p. 346-361
Rights: Tots els drets reservats
Subject: Delaunay, Triangulaci贸 de
Delaunay triangulation
Imatgeria tridimensional
Three-dimensional imaging
Title: Splat-based surface reconstruction from defect-laden point sets
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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