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    Ray Tracing Animated Scenes using Motion Decomposition

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    Date
    2006
    Author
    Guenther, Johannes
    Friedrich, Heiko
    Wald, Ingo ORCID
    Seidel, Hans-Peter
    Slusallek, Philipp ORCID
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    Abstract
    Though ray tracing has recently become interactive, its high precomputation time for building spatial indices usually limits its applications to walkthroughs of static scenes. This is a major limitation, as most applications demand support for dynamically animated models. In this paper, we present a new approach to ray trace a special but important class of dynamic scenes, namely models whose connectivity does not change over time and for which all possible poses are known in advance.We support these kinds of models by introducing two new concepts: motion decomposition, and fuzzy kd-trees. We analyze the animation and break the model down into submeshes with similar motion. For each of these submeshes and for every time step, we calculate a best affine transformation through a least square approach. Any residual motion is then captured in a single "fuzzy kd-tree" for the entire animation.Together, these techniques allow for ray tracing animations without rebuilding the spatial index structures for the submeshes, resulting in interactive frame rates of 5 to 15 fps even on a single CPU.Categories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: Ray tracing I.3.6 [Methodology and Techniques]: Graphics data structures and data types
    BibTeX
    @article {10.1111:j.1467-8659.2006.00971.x,
    journal = {Computer Graphics Forum},
    title = {{Ray Tracing Animated Scenes using Motion Decomposition}},
    author = {Guenther, Johannes and Friedrich, Heiko and Wald, Ingo and Seidel, Hans-Peter and Slusallek, Philipp},
    year = {2006},
    publisher = {The Eurographics Association and Blackwell Publishing, Inc},
    ISSN = {1467-8659},
    DOI = {10.1111/j.1467-8659.2006.00971.x}
    }
    URI
    http://dx.doi.org/10.1111/j.1467-8659.2006.00971.x
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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