Objective Observer-Relative Flow Visualization in Curved Spaces for Unsteady 2D Geophysical Flows

@article{Rautek2021ObjectiveOF,
  title={Objective Observer-Relative Flow Visualization in Curved Spaces for Unsteady 2D Geophysical Flows},
  author={Peter Rautek and Matej Mlejnek and Johanna Beyer and Jakob Troidl and Hanspeter Pfister and Thomas Theu{\ss}l and Markus Hadwiger},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2021},
  volume={27},
  pages={283-293}
}
  • P. Rautek, M. Mlejnek, +4 authors M. Hadwiger
  • Published 13 October 2020
  • Computer Science, Medicine
  • IEEE Transactions on Visualization and Computer Graphics
Computing and visualizing features in fluid flow often depends on the observer, or reference frame, relative to which the input velocity field is given. A desired property of feature detectors is therefore that they are objective, meaning independent of the input reference frame. However, the standard definition of objectivity is only given for Euclidean domains and cannot be applied in curved spaces. We build on methods from mathematical physics and Riemannian geometry to generalize… Expand

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