Parameter-Free and Improved Connectivity for Point Clouds

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dc.contributor.authorMarin, Dianaen_US
dc.contributor.authorOhrhallinger, Stefanen_US
dc.contributor.authorWimmer, Michaelen_US
dc.contributor.editorSingh, Gurpriten_US
dc.contributor.editorChu, Mengyu (Rachel)en_US
dc.date.accessioned2023-05-03T06:05:46Z
dc.date.available2023-05-03T06:05:46Z
dc.date.issued2023
dc.description.abstractDetermining connectivity in unstructured point clouds is a long-standing problem that is still not addressed satisfactorily. In this poster, we propose an extension to the proximity graph introduced in [MOW22] to three-dimensional models. We use the spheres-of-influence (SIG) proximity graph restricted to the 3D Delaunay graph to compute connectivity between points. Our approach shows a better encoding of the connectivity in relation to the ground truth than the k-nearest neighborhood (kNN) for a wide range of k values, and additionally, it is parameter-free. Our result for this fundamental task offers potential for many applications relying on kNN, e.g., improvements in normal estimation, surface reconstruction, motion planning, simulations, and many more.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEurographics 2023 - Posters
dc.identifier.doi10.2312/egp.20231023
dc.identifier.isbn978-3-03868-211-0
dc.identifier.issn1017-4656
dc.identifier.pages5-6
dc.identifier.pages2 pages
dc.identifier.urihttps://doi.org/10.2312/egp.20231023
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egp20231023
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies -> Point-based models
dc.subjectComputing methodologies
dc.subjectPoint
dc.subjectbased models
dc.titleParameter-Free and Improved Connectivity for Point Cloudsen_US
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