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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

Elsevier

Autor: Campos Dausà, Ricard
García Campos, Rafael
Alliez, Pierre
Yvinec, Mariette
Resum: 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
Accés al document: http://hdl.handle.net/2072/249621
Llenguatge: eng
Editor: Elsevier
Drets: Tots els drets reservats
Matèria: Delaunay, Triangulació de
Delaunay triangulation
Imatges tridimensionals
Three-dimensional imaging
Títol: Splat-based surface reconstruction from defect-laden point sets
Tipus: info:eu-repo/semantics/article
Repositori: Recercat

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