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Autori principali: Cui, Ruiqi, Gæde, Emil Toftegaard, Rotenberg, Eva, Kobbelt, Leif, Bærentzen, J. Andreas
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2402.01893
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author Cui, Ruiqi
Gæde, Emil Toftegaard
Rotenberg, Eva
Kobbelt, Leif
Bærentzen, J. Andreas
author_facet Cui, Ruiqi
Gæde, Emil Toftegaard
Rotenberg, Eva
Kobbelt, Leif
Bærentzen, J. Andreas
contents Inspired by the seminal result that a graph and an associated rotation system uniquely determine the topology of a closed manifold, we propose a combinatorial method for reconstruction of surfaces from points. Our method constructs a spanning tree and a rotation system. Since the tree is trivially a planar graph, its rotation system determines a genus zero surface with a single face which we proceed to incrementally refine by inserting edges to split faces and thus merging them. In order to raise the genus, special handles are added by inserting edges between different faces and thus merging them. We apply our method to a wide range of input point clouds in order to investigate its effectiveness, and we compare our method to several other surface reconstruction methods. We find that our method offers better control over outlier classification, i.e. which points to include in the reconstructed surface, and also more control over the topology of the reconstructed surface.
format Preprint
id arxiv_https___arxiv_org_abs_2402_01893
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Surface Reconstruction Using Rotation Systems
Cui, Ruiqi
Gæde, Emil Toftegaard
Rotenberg, Eva
Kobbelt, Leif
Bærentzen, J. Andreas
Computational Geometry
Graphics
Inspired by the seminal result that a graph and an associated rotation system uniquely determine the topology of a closed manifold, we propose a combinatorial method for reconstruction of surfaces from points. Our method constructs a spanning tree and a rotation system. Since the tree is trivially a planar graph, its rotation system determines a genus zero surface with a single face which we proceed to incrementally refine by inserting edges to split faces and thus merging them. In order to raise the genus, special handles are added by inserting edges between different faces and thus merging them. We apply our method to a wide range of input point clouds in order to investigate its effectiveness, and we compare our method to several other surface reconstruction methods. We find that our method offers better control over outlier classification, i.e. which points to include in the reconstructed surface, and also more control over the topology of the reconstructed surface.
title Surface Reconstruction Using Rotation Systems
topic Computational Geometry
Graphics
url https://arxiv.org/abs/2402.01893