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    Differential Blending for Expressive Sketch-Based Posing

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    Date
    2013
    Author
    Öztireli, A. Cengiz
    Baran, Ilya
    Popa, Tiberiu
    Dalstein, Boris
    Sumner, Robert W.
    Gross, Markus
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    Abstract
    Generating highly expressive and caricatured poses can be difficult in 3D computer animation because artists must interact with characters indirectly through complex character rigs. Furthermore, since caricatured poses often involve large bends and twists, artifacts arise with traditional skinning algorithms that are not designed to blend large, disparate rotations and cannot represent extremely large rotations. To overcome these problems, we introduce a differential blending algorithm that can successfully encode and blend large transformations, overcoming the inherent limitation of previous skeletal representations. Based on this blending method, we illustrate a sketch-based interface that supports curved bones and implements the line-of-action concept from hand-drawn animation to create expressive poses in 3D animation. By interpolating stored differential transformations across temporal keyframes, our system also generates caricatured animation. We present a detailed technical analysis of our differential blending algorithm and show several posing and animation results created using our system to demonstrate the utility of our method in practice.
    BibTeX
    @inproceedings {10.1145:2485895.2485916,
    booktitle = {Eurographics/ ACM SIGGRAPH Symposium on Computer Animation},
    editor = {Theodore Kim and Robert Sumner},
    title = {{Differential Blending for Expressive Sketch-Based Posing}},
    author = {Öztireli, A. Cengiz and Baran, Ilya and Popa, Tiberiu and Dalstein, Boris and Sumner, Robert W. and Gross, Markus},
    year = {2013},
    publisher = {ACM SIGGRAPH / Eurographics Association},
    ISSN = {1727-5288},
    ISBN = {978-1-4503-2132-7},
    DOI = {10.1145/2485895.2485916}
    }
    URI
    http://dx.doi.org/10.1145/2485895.2485916
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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