Splat-based Surface Reconstruction from Defect-Laden Point Sets

Ricard Campos 1 Rafael Garcia 1 Pierre Alliez 2 Mariette Yvinec 3
1 Computer Vision and Robotics Group
Computer Vision and Robotics Group [Girona]
2 TITANE - Geometric Modeling of 3D Environments
CRISAM - Inria Sophia Antipolis - Méditerranée
3 GEOMETRICA - Geometric computing
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Saclay - Ile de France
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.
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Ricard Campos, Rafael Garcia, Pierre Alliez, Mariette Yvinec. Splat-based Surface Reconstruction from Defect-Laden Point Sets. Graphical Models, Elsevier, 2013, 75 (6), pp.346-361. ⟨http://www.sciencedirect.com/science/article/pii/S1524070313000258⟩. ⟨10.1016/j.gmod.2013.08.001⟩. ⟨hal-00863316⟩

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