ETH Zurich - D-INFK - IVC - CGL - Research - SciVis - Time-Dep. Flow Data

Selective Visualization of Time-Dependent Flow Data (2001-2004)


Dirk Bauer, Ronny Peikert, Mie Sato

Abstract Abstract | Publications

Scale-space techniques have become popular in computer vision for their capability to access the multi-scale information inherently contained in images. In this project, we show that the field of flow visualization can benefit from these techniques, too, yielding more coherent features and sorting out numerical artifacts as well as irrelevant large-scale features. It is possible to implement the scale-space computation also for time-dependent CFD data. Feature tracking allows to process the information provided by the scale-space not just visually but also algorithmically. To achieve this goal, we developed a technique for extending a class of feature extraction schemes by an additional dimension, resulting in an efficient solution of the vortex tracking problem.In the same project, we explore techniques for the purpose of visualizing isolated flow structures in time-dependent data. Our primary industrial application is the visualization of the vortex rope, a rotating helical structure which builds up in the draft tube of a water turbine. The vortex rope can be characterized by high values of normalized helicity, which is a scalar field derived from the given CFD velocity data. In two related applications, the goal is to visualize the cavitation regions near the runner blades of a Kaplan turbine and a water pump, respectively. Again, the flow structure of interest can be defined by a scalar field, namely by low pressure values. We proposed a particle seeding scheme based on quasi-random numbers, which minimizes visual artifacts such as clusters or patterns. By constraining the visualization to a region of interest, occlusion problems are reduced and storage efficiency is gained.


Publications Abstract | Publications
  • D. Bauer, Selective Visualisation of Unsteady 3D Flow using Scale-Space and Feature-Based Techniques, Dissertation No.16640, ETH Zurich, 2006.
    [PDF] [BibTeX]
  • M. Sato, R. Peikert, Core-Line-Based Vortex Hulls in Turbomachinery Flows, Journal of the Visualization Society of Japan, Vol.23 Suppl. No. 2, pp. 151-154 (Utsunomiya Visualization Symposium, 2003)
    [Abstract] [PDF]
  • D. Bauer, R. Peikert, M. Sato, M. Sick, A Case Study in Selective Visualization of Unsteady 3D Flow. In: Proceedings of IEEE Visualization '02, IEEE Computer Society Press, pp. 525-528, (Visualization '02, Boston, MA, USA, October 27-November 1, 2002).
    [PDF] [BibTeX]
  • D. Bauer, R. Peikert, Vortex Tracking in Scale-Space. In: Joint EUROGRAPHICS - IEEE TCVG Symposium on Visualization (2002), pp. 233-240, VisSym'02, Barcelona, May 27-29, 2002.
    [PDF] [BibTeX]

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