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    Implicit Surface Reconstruction and Feature Detection with a Learning Algorithm

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    127-130.pdf (313.3Kb)
    Date
    2010
    Author
    Kaye, David
    Ivrissimtzis, Ionnis
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    Abstract
    We propose a new algorithm for implicit surface reconstruction and feature detection. The algorithm is based on a self organising map with the connectivity of a regular 3D grid that can be trained into an implicit representation of surface data. The implemented self organising map stores not only its current state but also its recent training history which can be used for feature detection. Preliminary results show that the proposed algorithm gives good quality reconstructions and can detect various types of feature.
    BibTeX
    @inproceedings {10.2312:LocalChapterEvents:TPCG:TPCG10:127-130,
    booktitle = {Theory and Practice of Computer Graphics},
    editor = {John Collomosse and Ian Grimstead},
    title = {{Implicit Surface Reconstruction and Feature Detection with a Learning Algorithm}},
    author = {Kaye, David and Ivrissimtzis, Ionnis},
    year = {2010},
    publisher = {The Eurographics Association},
    ISBN = {978-3-905673-75-3},
    DOI = {10.2312/LocalChapterEvents/TPCG/TPCG10/127-130}
    }
    URI
    http://dx.doi.org/10.2312/LocalChapterEvents/TPCG/TPCG10/127-130
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    Eurographics Association copyright © 2013 - 2022 
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    Theme by @mire NV
    System hosted at  Graz University of Technology.
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