| dc.contributor.author | Schnorr, Andrea | en_US |
| dc.contributor.author | Freitag, Sebastian | en_US |
| dc.contributor.author | Kuhlen, Torsten W. | en_US |
| dc.contributor.author | Hentschel, Bernd | en_US |
| dc.contributor.editor | Tobias Isenberg and Filip Sadlo | en_US |
| dc.date.accessioned | 2016-06-09T09:33:36Z | |
| dc.date.available | 2016-06-09T09:33:36Z | |
| dc.date.issued | 2016 | en_US |
| dc.identifier.isbn | 978-3-03868-015-4 | en_US |
| dc.identifier.issn | - | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/eurp.20161146 | en_US |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10 | |
| dc.description.abstract | We 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.publisher | The Eurographics Association | en_US |
| dc.title | Tracking Space-Filling Features by Two-Step Optimization | en_US |
| dc.description.seriesinformation | EuroVis 2016 - Posters | en_US |
| dc.description.sectionheaders | Poster | en_US |
| dc.identifier.doi | 10.2312/eurp.20161146 | en_US |
| dc.identifier.pages | 77-79 | en_US |
