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dc.contributor.authorChen, Ni
dc.contributor.authorWang, Congli
dc.contributor.authorHeidrich, Wolfgang
dc.date.accessioned2021-06-14T13:36:31Z
dc.date.available2021-06-14T13:36:31Z
dc.date.issued2021-06-10
dc.date.submitted2021-01-07
dc.identifier.citationChen, N., Wang, C., & Heidrich, W. (2021). Snapshot Space–Time Holographic 3D Particle Tracking Velocimetry. Laser & Photonics Reviews, 2100008. doi:10.1002/lpor.202100008
dc.identifier.issn1863-8880
dc.identifier.issn1863-8899
dc.identifier.doi10.1002/lpor.202100008
dc.identifier.urihttp://hdl.handle.net/10754/669578
dc.description.abstractDigital inline holography is an amazingly simple and effective approach for 3D imaging, to which particle tracking velocimetry is of particular interest. Conventional digital holographic particle tracking velocimetry techniques are computationally separated in particle and flow reconstruction, plus the expensive computations. Usually, the particle volumes are recovered first, from which fluid flows are computed. Without iterative reconstructions, This sequential space–time process lacks accuracy. This paper presents a joint optimization framework for digital holographic particle tracking velocimetry: particle volumes and fluid flows are reconstructed jointly in a higher space–time dimension, enabling faster convergence and better reconstruction quality of both fluid flow and particle volumes within a few minutes on modern GPUs. Synthetic and experimental results are presented to show the efficiency of the proposed technique.
dc.description.sponsorshipN.C. and C.W. contributed equally to this work. The authors thank Jinhui Xiong and Guangming Zang for constructive discussions, Prof. Sigurdur Thoroddsen and Ziqiang Yang from High-Speed Fluids Imaging Laboratory at King Abdullah University of Science and Technology for preparing the particles, and design the flow experiments. This work was supported by the KAUST individual baseline funding.
dc.publisherWiley
dc.relation.urlhttps://onlinelibrary.wiley.com/doi/10.1002/lpor.202100008
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purpose.
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.titleSnapshot Space–Time Holographic 3D Particle Tracking Velocimetry
dc.typeArticle
dc.contributor.departmentVisual Computing Center (VCC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentComputer Science Program
dc.identifier.journalLaser & Photonics Reviews
dc.eprint.versionPublisher's Version/PDF
dc.identifier.pages2100008
kaust.personChen, Ni
kaust.personWang, Congli
kaust.personHeidrich, Wolfgang
dc.date.accepted2021-03-18
refterms.dateFOA2021-06-14T13:38:09Z
kaust.acknowledged.supportUnitHigh-Speed Fluids Imaging Laboratory
dc.date.published-online2021-06-10
dc.date.published-print2021-08


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This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purpose.
Except where otherwise noted, this item's license is described as This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purpose.