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    • 39-Issue 7
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    FAKIR: An Algorithm for Revealing the Anatomy and Pose of Statues from Raw Point Sets

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    Date
    2020
    Author
    Fu, Tong
    Chaine, Raphaelle
    Digne, Julie ORCID
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    Abstract
    3D acquisition of archaeological artefacts has become an essential part of cultural heritage research for preservation or restoration purpose. Statues, in particular, have been at the center of many projects. In this paper, we introduce a way to improve the understanding of acquired statues representing real or imaginary creatures by registering a simple and pliable articulated model to the raw point set data. Our approach performs a Forward And bacKward Iterative Registration (FAKIR) which proceeds joint by joint, needing only a few iterations to converge. We are thus able to detect the pose and elementary anatomy of sculptures, with possibly non realistic body proportions. By adapting our simple skeleton, our method can work on animals and imaginary creatures.
    BibTeX
    @article {10.1111:cgf.14152,
    journal = {Computer Graphics Forum},
    title = {{FAKIR: An Algorithm for Revealing the Anatomy and Pose of Statues from Raw Point Sets}},
    author = {Fu, Tong and Chaine, Raphaelle and Digne, Julie},
    year = {2020},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.14152}
    }
    URI
    https://doi.org/10.1111/cgf.14152
    https://diglib.eg.org:443/handle/10.1111/cgf14152
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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