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    Exploiting the PANORAMA Representation for Convolutional Neural Network Classification and Retrieval

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    Date
    2017
    Author
    Sfikas, Konstantinos
    Theoharis, Theoharis
    Pratikakis, Ioannis
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    Abstract
    A novel 3D model classification and retrieval method, based on the PANORAMA representation and Convolutional Neural Networks, is presented. Initially, the 3D models are pose normalized using the SYMPAN method and consecutively the PANORAMA representation is extracted and used to train a convolutional neural network. The training is based on an augmented view of the extracted panoramic representation views. The proposed method is tested in terms of classification and retrieval accuracy on standard large scale datasets.
    BibTeX
    @inproceedings {10.2312:3dor.20171045,
    booktitle = {Eurographics Workshop on 3D Object Retrieval},
    editor = {Ioannis Pratikakis and Florent Dupont and Maks Ovsjanikov},
    title = {{Exploiting the PANORAMA Representation for Convolutional Neural Network Classification and Retrieval}},
    author = {Sfikas, Konstantinos and Theoharis, Theoharis and Pratikakis, Ioannis},
    year = {2017},
    publisher = {The Eurographics Association},
    ISSN = {1997-0471},
    ISBN = {978-3-03868-030-7},
    DOI = {10.2312/3dor.20171045}
    }
    URI
    http://dx.doi.org/10.2312/3dor.20171045
    https://diglib.eg.org:443/handle/10.2312/3dor20171045
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA