Interactive cross-detector analysis of vortical flow data

Raphael Bürger, Philipp Muigg, Helmut Doleisch, Helwig Hauser
Interactive cross-detector analysis of vortical flow data
In Proceedings of CMV 2007, pages 98-110. 2007.
[ Paper]
Content:

Information

Abstract

In this paper we discuss the application of multiple linked views for advanced vortex investigation in flow data. Local feature detectors and additional measures integrate into an interactive flow feature detection system based on multiple linked views. We discuss how linking and brushing of derived feature information can lead to increased performance in interactive feature analysis. In a case study we demonstrate how the possibility to integrate the information of multiple detectors leads to sound understanding of vortex type features. Enhanced credibility and combined advantages of several detectors can be achieved by uniting the results of multiple feature detectors in multiple coordinated views.

Additional Files and Images

Additional images and videos:
Figure2 Figure2: Combining multiple detectors using linked views
Figure3 Figure3: PQ-Plot
Figure4 Figure4: Correlating several detectors
Figure5 Figure5: Feature localization analysis
Figure6 Figure6: Analysis of the tumbling motion inside the combustion chamber
Figure7 Figure7: Further investigation of optimal mixing
Figure8 Figure8: Analysis of gasket vortices
Figure9 Figure9: Interactive comparision of two vortices
Additional files:
Paper
Paper




BibTeX

Download BibTeX-Entry
@inproceedings{Buerger-2007-cmv,
  title =      "Interactive cross-detector analysis of vortical flow data",
  author =     "Raphael B{\"u}rger and Philipp Muigg and Helmut Doleisch
               and Helwig Hauser",
  year =       "2007",
  abstract =   "In this paper we discuss the application of multiple linked
               views for advanced vortex investigation in flow data. Local
               feature detectors and additional measures integrate into an
               interactive flow feature detection system based on multiple
               linked views. We discuss how linking and brushing of derived
               feature information can lead to increased performance in
               interactive feature analysis. In a case study we demonstrate
               how the possibility to integrate the information of multiple
               detectors leads to sound understanding of vortex type
               features. Enhanced credibility and combined advantages of
               several detectors can be achieved by uniting the results of
               multiple feature detectors in multiple coordinated views.",
  pages =      "98--110",
  booktitle =  "Proceedings of CMV 2007",
  publisher =  "IEEE",
  keywords =   "Multiple Views, Vortex, Flow Visualization, Multiple
               Detectors",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/",
}