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    • 36-Issue 2
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    Sparse Rig Parameter Optimization for Character Animation

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    Date
    2017
    Author
    Song, Jaewon
    Ribera, Roger Blanco i ORCID
    Cho, Kyungmin
    You, Mi
    Lewis, J. P.
    Choi, Byungkuk
    Noh, Junyong ORCID
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    Abstract
    We propose a novel motion retargeting method that efficiently estimates artist-friendly rig space parameters. Inspired by the workflow typically observed in keyframe animation, our approach transfers a source motion into a production friendly character rig by optimizing the rig space parameters while balancing the considerations of fidelity to the source motion and the ease of subsequent editing. We propose the use of an intermediate object to transfer both the skeletal motion and the mesh deformation. The target rig-space parameters are then optimized to minimize the error between the motion of an intermediate object and the target character. The optimization uses a set of artist defined weights to modulate the effect of the different rig space parameters over time. Sparsity inducing regularizers and keyframe extraction streamline any additional editing processes. The results obtained with different types of character rigs demonstrate the versatility of our method and its effectiveness in simplifying any necessary manual editing within the production pipeline.
    BibTeX
    @article {10.1111:cgf.13109,
    journal = {Computer Graphics Forum},
    title = {{Sparse Rig Parameter Optimization for Character Animation}},
    author = {Song, Jaewon and Ribera, Roger Blanco i and Cho, Kyungmin and You, Mi and Lewis, J. P. and Choi, Byungkuk and Noh, Junyong},
    year = {2017},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13109}
    }
    URI
    http://dx.doi.org/10.1111/cgf.13109
    https://diglib.eg.org:443/handle/10.1111/cgf13109
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    • 36-Issue 2

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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.
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