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dc.contributor.authorPobitzer, Armineng
dc.contributor.authorTutkun, Murateng
dc.contributor.authorAnreassen, Øyvindeng
dc.contributor.authorFuchs, Raphaeleng
dc.contributor.authorPeikert, Ronaldeng
dc.contributor.authorHauser, Helwigeng
dc.date.accessioned2012-06-22T12:07:11Z
dc.date.available2012-06-22T12:07:11Z
dc.date.issued2011eng
dc.PublishedComputer Graphics Forum 30(3):771–780en
dc.identifier.urihttps://hdl.handle.net/1956/5859
dc.description.abstractIn the visualization of flow simulation data, feature detectors often tend to result in overly rich response, making some sort of filtering or simplification necessary to convey meaningful images. In this paper we present an approach that builds upon a decomposition of the flow field according to dynamical importance of different scales of motion energy. Focusing on the high-energy scales leads to a reduction of the flow field while retaining the underlying physical process. The presented method acknowledges the intrinsic structures of the flow according to its energy and therefore allows to focus on the energetically most interesting aspects of the flow. Our analysis shows that this approach can be used for methods based on both local feature extraction and particle integration and we provide a discussion of the error caused by the approximation. Finally, we illustrate the use of the proposed approach for both a local and a global feature detector and in the context of numerical flow simulations.en_US
dc.language.isoengeng
dc.publisherBlackwell Publishing Ltd.en_US
dc.relation.ispartof<a href="http://hdl.handle.net/1956/5856" target="blank">Interactive Visual Analysis of Time-dependent Flows: Physics- and Statistics-based Semantics</a>en_US
dc.subjectComputer Graphicseng
dc.subjectSimulation Output Analysiseng
dc.titleEnergy-scale Aware Feature Extraction for Flow Visualizationen_US
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionacceptedVersionen_US
dc.rights.holderCopyright 2011 The Author(s). Journal compilation Copyright 2011 The Eurographics Association and Blackwell Publishing Ltd.en_US
dc.identifier.doihttps://doi.org/10.1111/j.1467-8659.2011.01926.x
dc.subject.nsiVDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429en_US


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