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    A Skeleton-based Approach for Detection of Perceptually Salient Features on Polygonal Surfaces

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    Date
    2002
    Author
    Hisada, Masayuki
    Belyaev, Alexander G.
    Kunii, Tosiyasu L.
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    Abstract
    The paper presents a skeleton-based approach for robust detection of perceptually salient shape features. Given ashape approximated by a polygonal surface, its skeleton is extracted using a three-dimensional Voronoi diagramtechnique proposed recently by Amenta et al. [3]. Shape creases, ridges and ravines, are detected as curvescorresponding to skeletal edges. Salient shape regions are extracted via skeleton decomposition into patches.The approach explores the singularity theory for ridge and ravine detection, combines several filtering methodsfor skeleton denoising and for selecting perceptually important ridges and ravines, and uses a topological analysisof the skeleton for detection of salient shape regions.ACM CSS: I.3.5 Computational Geometry and Object Modeling
    BibTeX
    @article {10.1111:1467-8659.00627,
    journal = {Computer Graphics Forum},
    title = {{A Skeleton-based Approach for Detection of Perceptually Salient Features on Polygonal Surfaces}},
    author = {Hisada, Masayuki and Belyaev, Alexander G. and Kunii, Tosiyasu L.},
    year = {2002},
    publisher = {Blackwell Publishers, Inc and the Eurographics Association},
    ISSN = {1467-8659},
    DOI = {10.1111/1467-8659.00627}
    }
    URI
    http://dx.doi.org/10.1111/1467-8659.00627
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    Eurographics Association copyright © 2013 - 2023 
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    System hosted at  Graz University of Technology.
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