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 Delocalized Unsteady Vortex Region Detectors

Raphael Fuchs, Ronald Peikert, Filip Sadlo, Bilal Alsallakh, Meister Eduard Gröller
Delocalized Unsteady Vortex Region Detectors
In Proceedings VMV 2008, pages 81-90. October 2008.
[ Paper]
Information
  • Publication Type: Conference Paper
  • Date (from): 8.10.2008
  • Date (to): 10.10.2008
  • Editor: Oliver Deussen, Daniel Keim, Dietmar Saupe
  • ISBN: 978-3-89838-609-8
  • Lecturer: Filip Sadlo
  • Location: Konstanz, Deutschland
  • Keywords: anisotropic filtering, vortex detection, interactive visual analysis

Abstract
In this paper we discuss generalizations of instantaneous, local vortex criteria. We incorporate information on spatial context and temporal development into the detection process. The presented method is generic in so far that it can extend any given Eulerian criterion to take the Lagrangian approach into account. Furthermore, we present a visual aid to understand and steer the feature extraction process. We show that the delocalized detectors are able to distinguish between connected vortices and help understanding regions of multiple interacting vortex structures. The delocalized detectors extract smoother structures and reduce noise in the vortex detection result.

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BibTeX
Download BibTeX-Entry
@inproceedings\{fuchs-2008-del,
  title =      "Delocalized Unsteady Vortex Region Detectors",
  author =     "Raphael Fuchs and Ronald Peikert and Filip Sadlo and Bilal
               Alsallakh and Meister Eduard Gr{\"o}ller",
  year =       "2008",
  abstract =   "In this paper we discuss generalizations of instantaneous,
               local vortex criteria. We incorporate information on spatial
               context and temporal development into the detection process.
               The presented method is generic in so far that it can extend
               any given Eulerian criterion to take the Lagrangian approach
               into account. Furthermore, we present a visual aid to
               understand and steer the feature extraction process. We show
               that the delocalized detectors are able to distinguish
               between connected vortices and help understanding regions of
               multiple interacting vortex structures. The delocalized
               detectors extract smoother structures and reduce noise in
               the vortex detection result.",
  pages =      "81--90",
  month =      oct,
  isbn =       "978-3-89838-609-8",
  location =   "Konstanz, Deutschland",
  editor =     "Oliver Deussen, Daniel Keim, Dietmar Saupe",
  booktitle =  "Proceedings VMV 2008",
  keywords =   "anisotropic filtering, vortex detection, interactive visual
               analysis",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2008/fuchs-2008-del/",
}

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