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Automated Meshing of Sparse 3D Point Clouds

    Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

    1 Citation (Scopus)

    Abstract

    We propose a novel method that uses simulated annealing to create an optimal surface mesh by selecting a subset of a 3D point cloud and a triangulation that reliably represents the actual topology of the scene. This method provides a number of advantages: it copes well with noisy data, it produces a simplified mesh, particularly for scenes that contain many planes and, unlike greedy search techniques, it is much more likely to converge to a global minimum.
    Translated title of the contributionAutomated Meshing of Sparse 3D Point Clouds
    Original languageEnglish
    Title of host publicationUnknown
    PublisherAssociation for Computing Machinery
    Publication statusPublished - Jul 2003

    Bibliographical note

    Conference Proceedings/Title of Journal: Proceedings of the SIGGRAPH 2003 Conference on Sketches & Applications. San Diego, USA

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