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    Computing Local Binary Patterns on Mesh Manifolds for 3D Texture Retrieval

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    Date
    2015
    Author
    Werghi, Naoufel
    Tortorici, Claudio
    Berretti, Stefano
    Bimbo, Alberto Del
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    Abstract
    In this paper, we present and experiment a novel approach for retrieving 3D geometric texture patterns on 2D mesh-manifolds (i.e., surfaces in the 3D space) using local binary patterns (LBP) constructed on the mesh. The method is based on the recently proposed mesh-LBP framework [WBD15]. Compared to its depth-image counterpart, the mesh-LBP is distinguished by the following features: a) inherits the intrinsic advantages of mesh surface (e.g., preservation of the full geometry); b) does not require normalization; c) can accommodate partial matching. Experiments conducted with public 3D models with geometric texture showcase the superiority of the mesh-LBP descriptors in comparison with competitive methods.
    BibTeX
    @inproceedings {3dor.20151061,
    booktitle = {Eurographics Workshop on 3D Object Retrieval},
    editor = {I. Pratikakis and M. Spagnuolo and T. Theoharis and L. Van Gool and R. Veltkamp},
    title = {{Computing Local Binary Patterns on Mesh Manifolds for 3D Texture Retrieval}},
    author = {Werghi, Naoufel and Tortorici, Claudio and Berretti, Stefano and Bimbo, Alberto Del},
    year = {2015},
    publisher = {The Eurographics Association},
    DOI = {10.2312/3dor.20151061}
    }
    URI
    http://dx.doi.org/10.2312/3dor.20151061
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    • 3DOR 15

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    Eurographics Association copyright © 2013 - 2020 
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    Theme by @mire NV
    System hosted at  Graz University of Technology.
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