Snapshot space-time holographic three-dimensional particle tracking velocimetry
KAUST DepartmentComputational Imaging Group
Computer Science Program
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Electrical and Computer Engineering
Electrical and Computer Engineering Program
Visual Computing Center (VCC)
Permanent link to this recordhttp://hdl.handle.net/10754/668685
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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.
SponsorsThis work was supported by the KAUST individual baseline funding.
N. 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.
JournalLaser & Photonics Reviews
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Chen, N., Wang, C., & Heidrich, W. (2021). Snapshot space-time holographic three-dimensional particle tracking velocimetry: video. KAUST Research Repository. https://doi.org/10.25781/KAUST-724NT. DOI: 10.25781/KAUST-724NT Handle: 10754/666818