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    Radial Symmetry Detection and Shape Characterization with the Multiscale Area Projection Transform

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    Date
    2012
    Author
    Giachetti, Andrea
    Lovato, Christian
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    Abstract
    We present a novel method to characterize 3D surfaces through the computation of a function called (multiscale) area projection transform, measuring the likelihood of points in the 3D space to be center of radial symmetry at selected scales (radii). The function is derived through a simple geometric framework based on parallel surfaces and can be easily computed on triangulated meshes. It measures locally the area of the surface well approximated by a sphere of radius R centered in the point and can be normalized in order to obtain a scale invariant radial symmetry enhancement transform. This transform can therefore be used to detect and characterize salient regions like approximately spherical and approximately cylindrical surface parts and, being robust against holes and missing parts, it is suitable for real world applications e.g. anatomical features detection. Furthermore, its histograms can be effectively used to build a global shape descriptor that provides very good results in shape retrieval experiments.
    BibTeX
    @article {10.1111:j.1467-8659.2012.03172.x,
    journal = {Computer Graphics Forum},
    title = {{Radial Symmetry Detection and Shape Characterization with the Multiscale Area Projection Transform}},
    author = {Giachetti, Andrea and Lovato, Christian},
    year = {2012},
    publisher = {The Eurographics Association and Blackwell Publishing Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/j.1467-8659.2012.03172.x}
    }
    URI
    http://dx.doi.org/10.1111/j.1467-8659.2012.03172.x
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    • 31-Issue 5
    • SGP12: Eurographics Symposium on Geometry Processing

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