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    SHREC '11 Track: Generic Shape Retrieval

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    065-069.pdf (296.1Kb)
    Date
    2011
    Author
    Dutagaci, H.
    Godil, A.
    Daras, P.
    Axenopoulos, A.
    Litos, G.
    Manolopoulou, S.
    Goto, K.
    Yanagimachi, T.
    Kurita, Y.
    Kawamura, S.
    Furuya, T.
    Ohbuchi, R.
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    Abstract
    In this paper we present the results of the 3D Shape Retrieval Contest 2011 (SHREC'11) track on generic shape retrieval. The aim of this track is to evaluate the performance of 3D shape retrieval algorithms that can operate on arbitrary 3D models. The benchmark dataset consists of 1000 3D objects classified in 50 categories. The 3D models are mainly classified based on visual shape similarity and each class has equal number of models to reduce the possible bias in evaluation results. Two groups have participated in the track with six methods in total.
    BibTeX
    @inproceedings {10.2312:3DOR:3DOR11:065-069,
    booktitle = {Eurographics Workshop on 3D Object Retrieval},
    editor = {H. Laga and T. Schreck and A. Ferreira and A. Godil and I. Pratikakis and R. Veltkamp},
    title = {{SHREC '11 Track: Generic Shape Retrieval}},
    author = {Dutagaci, H. and Godil, A. and Daras, P. and Axenopoulos, A. and Litos, G. and Manolopoulou, S. and Goto, K. and Yanagimachi, T. and Kurita, Y. and Kawamura, S. and Furuya, T. and Ohbuchi, R.},
    year = {2011},
    publisher = {The Eurographics Association},
    ISSN = {1997-0463},
    ISBN = {978-3-905674-31-6},
    DOI = {10.2312/3DOR/3DOR11/065-069}
    }
    URI
    http://dx.doi.org/10.2312/3DOR/3DOR11/065-069
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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