Feature-based Flow Representation
Feature-Based Flow Representation is a flow representation method that characterizes fluid motion through extracted physical or mathematical features, distinguishing itself from holistic or raw-data approaches by focusing on salient, often reduced, descriptors derived from flow fields.
22
Publications
898
Citations
85
Authors
41
Institutions
Publications per year
2017–2026
13
Parents
22
Feature Extraction and Visualization of Flow Fields
Robert S. Laramee · Cronfa (Swansea University) · 2002 · 81 citations · Full text
Computing, Physics, Visualization +14
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41
Tufts University
Medford, United States
2 h-index
2 publications
58 citations
New York University
New York, United States
2 h-index
5 publications
148 citations
Nanjing University of Science and Technology
Nanjing, China
2 h-index
7 publications
190 citations
Information Technologies Institute
Thessaloniki, Greece
1 h-index
2 publications
58 citations

Technische Universität Darmstadt
Darmstadt, Germany
1 h-index
5 publications
130 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
7 publications
154 citations

Hashemite University
Zarqa, Jordan
1 h-index
3 publications
87 citations
Cranfield University
Cranfield, United Kingdom
1 h-index
3 publications
66 citations
1–8 of 41
3 publications · 80 citations
3
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TPAMI · 2 publications · 294 citations
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1 publications · 26 citations
1
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1 publications · 22 citations
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TOG · 1 publications · 100 citations
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1–5