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    Normal Estimation for Point Clouds: A Comparison Study for a Voronoi Based Method

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    039-046.pdf (2.271Mb)
    Date
    2005
    Author
    Dey, Tamal K.
    Li, Gang
    Sun, Jian
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    Abstract
    Many applications that process a point cloud data benefit from a reliable normal estimation step. Given a point cloud presumably sampled from an unknown surface, the problem is to estimate the normals of the surface at the data points. Two approaches, one based on numerical optimizations and another based on Voronoi diagrams are known for the problem. Variations of numerical approaches work well even when point clouds are contaminated with noise. Recently a variation of the Voronoi based method is proposed for noisy point clouds. The centrality of the normal estimation step in point cloud processing begs a thorough study of the two approaches so that one knows which approach is appropriate for what circumstances. This paper presents such results.
    BibTeX
    @inproceedings {10.2312:SPBG:SPBG05:039-046,
    booktitle = {Eurographics Symposium on Point-Based Graphics (2005)},
    editor = {Marc Alexa and Szymon Rusinkiewicz and Mark Pauly and Matthias Zwicker},
    title = {{Normal Estimation for Point Clouds: A Comparison Study for a Voronoi Based Method}},
    author = {Dey, Tamal K. and Li, Gang and Sun, Jian},
    year = {2005},
    publisher = {The Eurographics Association},
    ISSN = {1811-7813},
    ISBN = {3-905673-20-7},
    DOI = {10.2312/SPBG/SPBG05/039-046}
    }
    URI
    http://dx.doi.org/10.2312/SPBG/SPBG05/039-046
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA