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Experimental dataset investigation of deep recurrent optical flow learning for particle image velocimetry
Anjaneya Reddy, Yuvarajendra
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.
ORCID iD:
0009-0005-5670-2022
Wahl, Joel
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.
ORCID iD:
0000-0003-1845-6199
Sjödahl, Mikael
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.
ORCID iD:
0000-0003-4879-8261
2023 (English)
In:
Book of Abstracts: 20th International Symposium on Flow Visualization, Delft University of Technology , 2023
Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
Delft University of Technology , 2023.
Keywords [en]
Particle Image Velocimetry, Experimental dataset, Image pre-processing, Neural network, Optical flow
National Category
Computer graphics and computer vision
Research subject
Experimental Mechanics
Identifiers
URN:
urn:nbn:se:ltu:diva-108598
OAI: oai:DiVA.org:ltu-108598
DiVA, id:
diva2:1889805
Conference
20th International Symposium on Flow Visualization (ISFV 2023), Delft, The Netherlands, July 10-13, 2023
Available from:
2024-08-16
Created:
2024-08-16
Last updated:
2025-10-21
Bibliographically approved
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Anjaneya Reddy, Yuvarajendra
Wahl, Joel
Sjödahl, Mikael
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Wahl, Joel
Sjödahl, Mikael
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Fluid and Experimental Mechanics
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ieee
modern-language-association-8th-edition
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apa
ieee
modern-language-association-8th-edition
vancouver
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