A gradient-based comparison measure for visual analysis of multifield data

  • Authors:
  • Suthambhara Nagaraj;Vijay Natarajan;Ravi S. Nanjundiah

  • Affiliations:
  • Department of Computer Science and Automation, Indian Institute of Science, Bangalore;Department of Computer Science and Automation and Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore;Centre for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bangalore

  • Venue:
  • EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
  • Year:
  • 2011

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Abstract

We introduce a multifield comparison measure for scalar fields that helps in studying relations between them. The comparison measure is insensitive to noise in the scalar fields and to noise in their gradients. Further, it can be computed robustly and efficiently. Results from the visual analysis of various data sets from climate science and combustion applications demonstrate the effective use of the measure.