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dc.contributor.authorChen, Ni
dc.contributor.authorWang, Congli
dc.contributor.authorHeidrich, Wolfgang
dc.date.accessioned2021-04-12T08:17:02Z
dc.date.available2021-04-12T08:17:02Z
dc.date.issued2021-04-12
dc.identifier.urihttp://hdl.handle.net/10754/668685
dc.description.abstractDigital inline holography is an amazingly simple and effective approach for three-dimensional 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 firstly, from which fluid flows are computed. Without iterative reconstructions, This sequential spacetime 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.sponsorshipThis work was supported by the KAUST individual baseline funding.
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.
dc.language.isoen
dc.publisherWiley-VCH
dc.rightsThis is a manuscript version accepted for publication in Laser & Photonics Reviews. Archived with thanks to Laser & Photonics Reviews.
dc.titleSnapshot space-time holographic three-dimensional particle tracking velocimetry
dc.typeArticle
dc.contributor.departmentComputational Imaging Group
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journalLaser & Photonics Reviews
dc.eprint.versionPost-print
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
pubs.publication-statusAccepted
kaust.personChen, Ni
kaust.personWang, Congli
kaust.personHeidrich, Wolfgang
dc.relation.issupplementedbyDOI:10.25781/KAUST-724NT
refterms.dateFOA2021-04-12T08:17:02Z
display.relations<b>Is Supplemented By:</b><br/> <ul><li><i>[Video]</i> <br/> Chen, N., Wang, C., &amp; Heidrich, W. (2021). Snapshot space-time holographic three-dimensional particle tracking velocimetry: video. KAUST Research Repository. https://doi.org/10.25781/KAUST-724NT. DOI: <a href="https://doi.org/10.25781/KAUST-724NT" >10.25781/KAUST-724NT</a> Handle: <a href="http://hdl.handle.net/10754/666818" >10754/666818</a></a></li></ul>
kaust.acknowledged.supportUnitHigh-Speed Fluids Imaging Laboratory


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