Spline-based Decomposition of Streamed Particle Trajectories for Efficient Transfer and Analysis

dc.contributor.authorScharnowski, Katrinen_US
dc.contributor.authorFrey, Steffenen_US
dc.contributor.authorRaffin, Brunoen_US
dc.contributor.authorErtl, Thomasen_US
dc.contributor.editorAdrien Peytavie and Carles Boschen_US
dc.date.accessioned2017-04-22T16:47:03Z
dc.date.available2017-04-22T16:47:03Z
dc.date.issued2017
dc.description.abstractWe introduce an approach for distributed processing and efficient storage of noisy particle trajectories, and present visual analysis techniques that directly operate on the generated representation. For efficient storage, we decompose individual trajectories into a smooth representation and a high frequency part. Our smooth representation is generated by fitting Hermite Splines to a series of time windows, adhering to a certain error bound. This directly supports scenarios involving in situ and streaming data processing. We show how the individually fitted splines can afterwards be combined into one spline posessing the same mathematical properties, i.e. C1 continuity as well as our error bound. The fitted splines are typically significantly smaller than the original data, and can therefore be used, e.g., for an online monitoring and analysis of distributed particle simulations. The high frequency part can be used to reconstruct the original data, or could also be discarded in scenarios with limited storage capabilities. Finally, we demonstrate the utility of our smooth representation for different analysis queries using real world data.en_US
dc.description.sectionheadersAnimation and Visualization
dc.description.seriesinformationEG 2017 - Short Papers
dc.identifier.doi10.2312/egsh.20171010
dc.identifier.issn1017-4656
dc.identifier.pages41-44
dc.identifier.urihttps://doi.org/10.2312/egsh.20171010
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egsh20171010
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectLine and curve generation
dc.titleSpline-based Decomposition of Streamed Particle Trajectories for Efficient Transfer and Analysisen_US
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