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Surface reconstruction from unorganized points

Authors:

Werner StuetzleAuthors Info & Claims

ACM SIGGRAPH Computer Graphics, Volume 26, Issue 2

Pages 71 - 78

https://doi.org/10.1145/142920.134011

Published: 01 July 1992 Publication History

Abstract

We describe and demonstrate an algorithm that takes as input an unorganized set of points {x_l, . . . . x_n} ⊂ R³ on or near an unknown manifold M, and produces as output a simplicial surface that approximates M. Neither the topology, the presence of boundaries, nor the geometry of M are assumed to be known in advance - all are inferred automatically from the data. This problem naturally arises in a variety of practical situations such as range scanning an object from multiple view points, recovery of biological shapes from two-dimensional slices, and interactive surface sketching.

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Pearl OLang IHu YYeh RHanocka R(2025)GeoCode: Interpretable Shape ProgramsComputer Graphics Forum10.1111/cgf.15276Online publication date: 12-Feb-2025
https://doi.org/10.1111/cgf.15276
Akwensi PBharadwaj AWang R(2025)Points2Model: a neural-guided 3D building wireframe reconstruction from airborne LiDAR point cloudsInternational Journal of Digital Earth10.1080/17538947.2025.245868218:1Online publication date: 11-Feb-2025
https://doi.org/10.1080/17538947.2025.2458682
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Index Terms

Surface reconstruction from unorganized points
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Reconstruction
      2. Computer vision tasks
        Scene understanding
  2. Computer graphics
    1. Shape modeling
      1. Parametric curve and surface models
      2. Volumetric models
2. Theory of computation
  1. Randomness, geometry and discrete structures

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Information & Contributors

Information

Published In

cover image ACM SIGGRAPH Computer Graphics

ACM SIGGRAPH Computer Graphics Volume 26, Issue 2

July 1992

366 pages

ISSN:0097-8930

DOI:10.1145/142920

Editor:
Maxine Brown
Univ. of Illinois at Chicago

Issue’s Table of Contents

SIGGRAPH '92: Proceedings of the 19th annual conference on Computer graphics and interactive techniques
July 1992
420 pages
ISBN:0897914791
DOI:10.1145/133994
Editor:
James J. Thomas
Battelle Pacific Northwest Labs, Richland, WA

Copyright © 1992 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 1992

Published in SIGGRAPH Volume 26, Issue 2

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https://doi.org/10.12677/aam.2025.141023
Pearl OLang IHu YYeh RHanocka R(2025)GeoCode: Interpretable Shape ProgramsComputer Graphics Forum10.1111/cgf.15276Online publication date: 12-Feb-2025
https://doi.org/10.1111/cgf.15276
Akwensi PBharadwaj AWang R(2025)Points2Model: a neural-guided 3D building wireframe reconstruction from airborne LiDAR point cloudsInternational Journal of Digital Earth10.1080/17538947.2025.245868218:1Online publication date: 11-Feb-2025
https://doi.org/10.1080/17538947.2025.2458682
Quan SZhao HZeng ZNie ZYang J(2025)Pre-training meets iteration: Learning for robust 3D point cloud denoisingPattern Recognition Letters10.1016/j.patrec.2025.02.012190(105-110)Online publication date: Apr-2025
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