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    Reconfigurable rainbow PIV for 3D flow measurement

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    Type
    Conference Paper
    Authors
    Xiong, Jinhui cc
    Fu, Qiang cc
    Idoughi, Ramzi
    Heidrich, Wolfgang cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Computer Science Program
    Visual Computing Center (VCC)
    Date
    2018-05-31
    Online Publication Date
    2018-05-31
    Print Publication Date
    2018-05
    Permanent link to this record
    http://hdl.handle.net/10754/630455
    
    Metadata
    Show full item record
    Abstract
    In recent years, 3D Particle Imaging Velocimetry (PIV) has become more and more attractive due to its ability to fully characterize various fluid flows. However, 3D fluid capture and velocity field reconstruction remain a challenging problem. A recent rainbow PIV system encodes depth into color and successfully recovers 3D particle trajectories, but it also suffers from a limited and fixed volume size, as well as a relatively low light efficiency. In this paper, we propose a reconfigurable rainbow PIV system that extends the volume size to a considerable range. We introduce a parallel double-grating system to improve the light efficiency for scalable rainbow generation. A varifocal encoded diffractive lens is designed to accommodate the size of the rainbow illumination, ranging from 15 mm to 50 mm. We also propose a truncated consensus ADMM algorithm to efficiently reconstruct particle locations. Our algorithm is 5x faster compared to the state-of-the-art. The reconstruction quality is also improved significantly for a series of density levels. Our method is demonstrated by both simulation and experimental results.
    Citation
    Xiong J, Fu Q, Idoughi R, Heidrich W (2018) Reconfigurable rainbow PIV for 3D flow measurement. 2018 IEEE International Conference on Computational Photography (ICCP). Available: http://dx.doi.org/10.1109/iccphot.2018.8368475.
    Sponsors
    This work was supported by King Abdullah University of Science and Technology CRG Funding and Baseline Funding.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2018 IEEE International Conference on Computational Photography (ICCP)
    Conference/Event name
    2018 IEEE International Conference on Computational Photography, ICCP 2018
    DOI
    10.1109/iccphot.2018.8368475
    Additional Links
    https://ieeexplore.ieee.org/document/8368475/
    ae974a485f413a2113503eed53cd6c53
    10.1109/iccphot.2018.8368475
    Scopus Count
    Collections
    Conference Papers; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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