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Experimental dataset investigation of deep recurrent optical flow learning for particle image velocimetry
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.ORCID iD: 0009-0005-5670-2022
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.ORCID iD: 0000-0003-1845-6199
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 , 2023Conference 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-108598OAI: oai:DiVA.org:ltu-108598DiVA, 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: 2025-02-07Bibliographically approved

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Anjaneya Reddy, YuvarajendraWahl, JoelSjödahl, Mikael

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