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dc.contributor.authorGuenther, Johannesen_US
dc.contributor.authorFriedrich, Heikoen_US
dc.contributor.authorWald, Ingoen_US
dc.contributor.authorSeidel, Hans-Peteren_US
dc.contributor.authorSlusallek, Philippen_US
dc.date.accessioned2015-02-21T14:31:51Z
dc.date.available2015-02-21T14:31:51Z
dc.date.issued2006en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/j.1467-8659.2006.00971.xen_US
dc.description.abstractThough 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 typesen_US
dc.publisherThe Eurographics Association and Blackwell Publishing, Incen_US
dc.titleRay Tracing Animated Scenes using Motion Decompositionen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume25en_US
dc.description.number3en_US
dc.identifier.doi10.1111/j.1467-8659.2006.00971.xen_US
dc.identifier.pages517-525en_US


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