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dc.contributor.authorJeruzalski, Timothyen_US
dc.contributor.authorFiume, Eugeneen_US
dc.contributor.authorJacobson, Alecen_US
dc.contributor.authorLevin, David I.W.en_US
dc.contributor.editorBernhard Thomaszewski and KangKang Yin and Rahul Narainen_US
dc.date.accessioned2017-12-31T10:43:02Z
dc.date.available2017-12-31T10:43:02Z
dc.date.issued2017
dc.identifier.isbn978-1-4503-5091-4
dc.identifier.urihttp://dx.doi.org/10.1145/3099564.3106643
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1145/3099564-3106643
dc.description.abstractMethods to compress simulation data are invaluable as they facilitate efficient transmission along the visual effects pipeline, fast and efficient replay of simulations for visualization and enable storage of scientific data. However, all current approaches to compressing simulation data require access to the entire dynamic simulation, leading to large memory requirements and additional computational burden. In this paper we perform physics-based simulation compression in an online fashion, requiring access to only a narrow window of simulation data at a time and achieving good agreement with the original simulation.en_US
dc.publisherACMen_US
dc.subjectComputing methodologies
dc.subjectAnimation
dc.subjectSimulation tools
dc.subjectPhysical simulation
dc.subjectSimulation compression
dc.subjectRigid body
dc.subjectAnimation
dc.titleOnline Compression of Rigid Body Simulations using Physics-Inspired Interpolationen_US
dc.description.seriesinformationEurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters
dc.description.sectionheadersPoster Abstracts
dc.identifier.doi10.1145/3099564.3106643
dc.identifier.pagesTimothy Jeruzalski, Eugene Fiume, Alec Jacobson, and David I.W. Levin-Computing methodologies - Animation; Simulation tools; Physical simulation; Simulation compression, Rigid body, Animation


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