Delocalized Unsteady Vortex Region Detectors

Information

• Publication Type: Conference Paper
• Workgroup(s)/Project(s):
  • PVG: Point-based Volume Graphics
• Date: October 2008
• Booktitle: Proceedings VMV 2008
• Date (from): 8. October 2008
• Date (to): 10. October 2008
• Editor: Oliver Deussen, Daniel Keim, Dietmar Saupe
• ISBN: 978-3-89838-609-8
• Lecturer: Filip Sadlo
• Location: Konstanz, Deutschland
• Pages (from): 81
• Pages (to): 90
• 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

@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.",
  month =      oct,
  booktitle =  "Proceedings VMV 2008",
  editor =     "Oliver Deussen, Daniel Keim, Dietmar Saupe",
  isbn =       "978-3-89838-609-8",
  location =   "Konstanz, Deutschland",
  pages =      "81--90",
  keywords =   "anisotropic filtering, vortex detection, interactive visual
               analysis",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-2008-del/",
}