Diana MarinORCID iD, Stefan OhrhallingerORCID iD, Michael WimmerORCID iD
Parameter-Free and Improved Connectivity for Point Clouds
Poster shown at Eurographics 2023 ( 8. May 2023-12. May 2023) In Eurographics 2023 - Posters , pages 5-6.
[paper]

Information

  • Publication Type: Poster
  • Workgroup(s)/Project(s):
  • Date: May 2023
  • Publisher: Eurographics
  • Open Access: yes
  • Location: Saarbrücken
  • ISBN: 978-3-03868-211-0
  • Event: Eurographics 2023
  • Editor: Singh, Gurprit and Chu, Mengyu
  • DOI: 10.2312/egp.20231023
  • Call for Papers: Call for Paper
  • Booktitle: Eurographics 2023 - Posters
  • Lecturer: Diana MarinORCID iD
  • Pages: 2
  • Conference date: 8. May 2023 – 12. May 2023
  • Pages: 5 – 6
  • Keywords: Computing methodologies, Point based models

Abstract

Determining 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.

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BibTeX

@misc{marin-2023-pic,
  title =      "Parameter-Free and Improved Connectivity for Point Clouds",
  author =     "Diana Marin and Stefan Ohrhallinger and Michael Wimmer",
  year =       "2023",
  abstract =   "Determining 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.",
  month =      may,
  publisher =  "Eurographics",
  location =   "Saarbr\"{u}cken",
  isbn =       "978-3-03868-211-0",
  event =      "Eurographics 2023",
  editor =     "Singh, Gurprit and Chu, Mengyu",
  doi =        "10.2312/egp.20231023",
  booktitle =  "Eurographics 2023 - Posters",
  pages =      "2",
  Conference date = "Poster presented at Eurographics 2023
               (2023-05-08--2023-05-12)",
  note =       "5--6",
  pages =      "5 – 6",
  keywords =   "Computing methodologies, Point based models",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2023/marin-2023-pic/",
}