Integrating Local Feature Detectors in the Interactive Visual Analysis of Flow Simulation Data

Simple item page
dc.contributor.authorBuerger, Raphaelen_US
dc.contributor.authorMuigg, Philippen_US
dc.contributor.authorIlcĂ­k, Martinen_US
dc.contributor.authorDoleisch, Helmuten_US
dc.contributor.authorHauser, Helwigen_US
dc.contributor.editorK. Museth and T. Moeller and A. Ynnermanen_US
dc.date.accessioned2014-01-31T07:11:04Z
dc.date.available2014-01-31T07:11:04Z
dc.date.issued2007en_US
dc.description.abstractWe present smooth formulations of common vortex detectors that allow a seamless integration into the concept of interactive visual analysis of flow simulation data. We express the originally binary feature detectors as fuzzy-sets that can be combined using the linking and brushing concepts of interactive visual analysis. Both interaction and visualization gain from having multiple detectors concurrently available and from the ability to combine them. An application study on automotive data reveals how these vortex detectors combine and perform in praxis.en_US
dc.description.seriesinformationEurographics/ IEEE-VGTC Symposium on Visualizationen_US
dc.identifier.isbn978-3-905673-45-6en_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttps://doi.org/10.2312/VisSym/EuroVis07/171-178en_US
dc.publisherThe Eurographics Associationen_US
dc.titleIntegrating Local Feature Detectors in the Interactive Visual Analysis of Flow Simulation Dataen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
171-178.pdf
Size:
340.36 KB
Format:
Adobe Portable Document Format
Download
Collections
EuroVis07: Joint Eurographics - IEEE VGTC Symposium on Visualization