Integrating local feature detectors in the interactive visual analysis of flow simulation data

  • Authors:
  • Raphael Bürger;Philipp Muigg;Martin Ilcík;Helmut Doleisch;Helwig Hauser

  • Affiliations:
  • Institute of Computer Graphics, Vienna University of Technology, Austria;VRVis Research Center, Vienna, Austria;VRVis Research Center, Vienna, Austria;VRVis Research Center, Vienna, Austria;VRVis Research Center, Vienna, Austria

  • Venue:
  • EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
  • Year:
  • 2007

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Abstract

We 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.