Tracking Space-Filling Features by Two-Step Optimization

dc.contributor.authorSchnorr, Andreaen_US
dc.contributor.authorFreitag, Sebastianen_US
dc.contributor.authorKuhlen, Torsten W.en_US
dc.contributor.authorHentschel, Bernden_US
dc.contributor.editorTobias Isenberg and Filip Sadloen_US
dc.date.accessioned2016-06-09T09:33:36Z
dc.date.available2016-06-09T09:33:36Z
dc.date.issued2016en_US
dc.description.abstractWe present a novel approach for tracking space-filling features, i.e., a set of features covering the entire domain. The assignment between successive time steps is determined by a two-step, global optimization scheme. First, a maximum-weight, maximal matching on a bi-partite graph is computed to provide one-to-one assignments between features of successive time steps. Second, events are detected in a subsequent step; here the matching step serves to restrict the exponentially large set of potential solutions. To this end, we compute an independent set on a graph representing conflicting event explanations. The method is evaluated by tracking dissipation elements, a structure definition from turbulent flow analysis.en_US
dc.description.sectionheadersPosteren_US
dc.description.seriesinformationEuroVis 2016 - Postersen_US
dc.identifier.doi10.2312/eurp.20161146en_US
dc.identifier.isbn978-3-03868-015-4en_US
dc.identifier.issn-en_US
dc.identifier.pages77-79en_US
dc.identifier.urihttps://doi.org/10.2312/eurp.20161146en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10
dc.publisherThe Eurographics Associationen_US
dc.titleTracking Space-Filling Features by Two-Step Optimizationen_US
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