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Opto-Electronic Advances, Volume. 6, Issue 12, 230172(2023)

Deep learning enabled single-shot absolute phase recovery in high-speed composite fringe pattern profilometry of separated objects

Maciej Trusiak* and Malgorzata Kujawinska**
Author Affiliations
  • Institute of Micromechanics and Photonics, Warsaw University of Technology, 8 Sw. A. Boboli Street, Warsaw 02-525, Poland
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    Back cover of Volume 5, Issue 5 of OEA in 2022.

    Fig. 1. Back cover of Volume 5, Issue 5 of OEA in 2022.

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    Possible future extension of the proposed DCFPP technique: (a) the example triple-frequency projected vertical and cross fringe patterns and their spectra, (b) the hardware system and (c) the enhanced shape reconstruction using cross fringe pattern and two channel reconstructions for vertical and horizontal composite fringe patterns.

    Fig. 2. Possible future extension of the proposed DCFPP technique: (a) the example triple-frequency projected vertical and cross fringe patterns and their spectra, (b) the hardware system and (c) the enhanced shape reconstruction using cross fringe pattern and two channel reconstructions for vertical and horizontal composite fringe patterns.

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    Maciej Trusiak, Malgorzata Kujawinska. Deep learning enabled single-shot absolute phase recovery in high-speed composite fringe pattern profilometry of separated objects[J]. Opto-Electronic Advances, 2023, 6(12): 230172

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    Paper Information

    Category: Research Articles

    Received: Sep. 21, 2023

    Accepted: Sep. 26, 2023

    Published Online: Mar. 13, 2024

    The Author Email: Trusiak Maciej (MTrusiak), Kujawinska Malgorzata (MKujawinska)

    DOI:10.29026/oea.2023.230172

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology