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dc.contributor.authorPobitzer, Armin
dc.contributor.authorTutkun, Murat
dc.contributor.authorAndreassen, Øyvind
dc.contributor.authorFuchs, R
dc.contributor.authorPeikert, Ronald
dc.contributor.authorHauser, Helwig
dc.date.accessioned2017-10-30T12:15:47Z
dc.date.accessioned2017-10-31T08:05:09Z
dc.date.available2017-10-30T12:15:47Z
dc.date.available2017-10-31T08:05:09Z
dc.date.issued2011
dc.identifier.citationPobitzer A, Tutkun M, Andreassen Ø, Fuchs R, Peikert R, Hauser H. Energy-scale Aware Feature Extraction for Flow Visualization. Computer graphics forum (Print) . 2011;30(3):771-780en_GB
dc.identifier.urihttp://hdl.handle.net/20.500.12242/753
dc.identifier.urihttps://ffi-publikasjoner.archive.knowledgearc.net/handle/20.500.12242/753
dc.descriptionPobitzer, Armin; Tutkun, Murat; Andreassen, Øyvind; Fuchs, R; Peikert, Ronald; Hauser, Helwig. Energy-scale Aware Feature Extraction for Flow Visualization. Computer graphics forum (Print) 2011 ;Volum 30.(3) s. 771-780en_GB
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_GB
dc.language.isoenen_GB
dc.titleEnergy-scale Aware Feature Extraction for Flow Visualizationen_GB
dc.typeArticleen_GB
dc.date.updated2017-10-30T12:15:47Z
dc.identifier.cristinID844715
dc.identifier.cristinID844715
dc.identifier.doi10.1111/j.1467-8659.2011.01926.x
dc.source.issn0167-7055
dc.source.issn1467-8659
dc.type.documentJournal article
dc.relation.journalComputer graphics forum (Print)


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