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    Spectral Analysis Driven Sparse Matching of 3D Shapes

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    059-062.pdf (575.9Kb)
    Date
    2012
    Author
    Darom, Tal
    Keller, Yosi
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    Abstract
    In this work we present an approach for matching three-dimensional mesh objects related by isometric transfor- mations and scaling. We propose to utilize the Scale invariant Scale-DoG detector and Local Depth SIFT mesh descriptor, to derive a statistical voting-based scheme to robustly estimate the scale ratio between the registered meshes. This paves the way to formulating a novel non-rigid mesh registration scheme, by matching sets of sparse salient feature points using spectral graph matching. The resulting approach is shown to compare favorably with previous state-of-the-art approaches in registering meshes related by partial alignment, while being a few orders of magnitude faster.
    BibTeX
    @inproceedings {10.2312:3DOR:3DOR12:059-062,
    booktitle = {Eurographics Workshop on 3D Object Retrieval},
    editor = {M. Spagnuolo and M. Bronstein and A. Bronstein and A. Ferreira},
    title = {{Spectral Analysis Driven Sparse Matching of 3D Shapes}},
    author = {Darom, Tal and Keller, Yosi},
    year = {2012},
    publisher = {The Eurographics Association},
    ISSN = {1997-0463},
    ISBN = {978-3-905674-36-1},
    DOI = {10.2312/3DOR/3DOR12/059-062}
    }
    URI
    http://dx.doi.org/10.2312/3DOR/3DOR12/059-062
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