Feature-based Flow Visualization
Feature-Based Flow Visualization is a type of flow visualization technique that identifies and renders salient structures in fluid flows by extracting and representing mathematically defined features such as vortices, separation lines, or stagnation points, thereby emphasizing physically meaningful flow behavior over volumetric or surface-level representations.
31
Publications
1.4K
Citations
79
Authors
35
Institutions
Publications per year
2017–2026
8
31
The State of the Art in Flow Visualisation: Feature Extraction and Tracking
Frits H. Post, Benjamin Vrolijk, Helwig Hauser et al. · Computer Graphics Forum · 2003 · 430 citations
Feature Extraction and Visualization of Flow Fields
Robert S. Laramee · Cronfa (Swansea University) · 2002 · 81 citations · Full text
Computing, Physics, Visualization +14
Ming-Hoe Kiu, David C. Banks · 1996 · 68 citations
A CNN-based shock detection method in flow visualization
Yang Liu, Yutong Lu, Yueqing Wang et al. · Computers & Fluids · 2019 · 58 citations
Computing, Computer Science, Physics +13
1–5 of 31
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35
VRVis GmbH (Austria)
Vienna, Austria
5 h-index
14 publications
1.6K citations

Delft University of Technology
Delft, The Netherlands
3 h-index
6 publications
964 citations
ETH Zurich
Zurich, Switzerland
3 h-index
8 publications
200 citations
University of California, Davis
Davis, United States
3 h-index
7 publications
247 citations

Anstalt für Verbrennungskraftmaschinen List (Austria)
Graz, Austria
2 h-index
2 publications
84 citations
University of Kaiserslautern
Kaiserslautern, Germany
2 h-index
4 publications
168 citations

TU Wien
Vienna, Austria
2 h-index
2 publications
49 citations
University of Houston
Houston, United States
2 h-index
4 publications
79 citations
1–8 of 35
4 publications · 116 citations
4
h-index
TVCG · 3 publications · 66 citations
3
h-index
2 publications · 452 citations
2
h-index
1 publications · 42 citations
1
h-index
1 publications · 58 citations
1
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1–5