2019
DOI: 10.1109/tvcg.2019.2934375
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Vector Field Topology of Time-Dependent Flows in a Steady Reference Frame

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Cited by 34 publications
(48 citation statements)
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“…Due to the relativity between observer and the observed feature, this formally guarantees that translating and rotating flow structures can be faithfully extracted (Günther & Theisel, ). Analyzing a vector field from the perspective of a local observer that moves with the vortices will enable the application of sophisticated steady‐state vortex separation and extraction techniques (Rojo & Günther, ). Initial experience with these advanced analysis methods applied to the current Guadalupe vortex street is encouraging and will be presented in a future paper.…”
Section: Discussionmentioning
confidence: 99%
“…Due to the relativity between observer and the observed feature, this formally guarantees that translating and rotating flow structures can be faithfully extracted (Günther & Theisel, ). Analyzing a vector field from the perspective of a local observer that moves with the vortices will enable the application of sophisticated steady‐state vortex separation and extraction techniques (Rojo & Günther, ). Initial experience with these advanced analysis methods applied to the current Guadalupe vortex street is encouraging and will be presented in a future paper.…”
Section: Discussionmentioning
confidence: 99%
“…In the following, we first discuss time‐dependent vector field topology at simple analytical examples, to build intuition about related issues, and compare the efficiency and accuracy of our DHT refinement method to the local refinement approach by Machado et al [MSE13]. Finally, we evaluate the different approaches to obtain initial candidate lines (Section 4.1) at two numerical flow simulation datasets, and compare the approaches by Rojo and Günther [RG20] as well as Machado et al [MBES16] to our DHT refinement approach on these datasets. As ground truth, we compare against ridges in the FTLE fields in all our examples.…”
Section: Resultsmentioning
confidence: 99%
“…Extracting critical points in the Galilean‐invariant frame of reference defined by the feature flow field [MBES16], and in an optimal frame of reference [RG20] both result in missing line segments due to numerical noise in the area behind the cylinder. Therefore, we obtain initial robust segments by filtering, where det ∇ u > −10, i.e., τ h = 10, and integrate from their ends along the respective observer motions (Figures 12o and 12p), as long as integration stays in a hyperbolic region.…”
Section: Resultsmentioning
confidence: 99%
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