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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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Defocused projection model for phase-shifting profilometry with a large depth range.

Yi Yu, Feipeng Da

    Optics Express
    |October 7, 2021
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    Summary
    This summary is machine-generated.

    This study introduces a new model to improve the accuracy of 3D profilometry, especially for large depth ranges. The method corrects defocus-induced errors for more precise 3D measurements.

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    Area of Science:

    • Optical Metrology
    • 3D Imaging
    • Computer Vision

    Background:

    • Phase-shifting 3D profilometry often uses defocused projection.
    • Accuracy issues arise with large depth ranges in defocused projection.
    • Defocus-induced errors are particularly problematic for complex object shapes.

    Purpose of the Study:

    • To address the accuracy limitations of defocused projection in phase-shifting 3D profilometry.
    • To develop a novel defocused projection model accounting for object shape.
    • To enhance measurement accuracy for large depth range applications.

    Main Methods:

    • Pinpointing a new defocus-induced error related to object shape.
    • Establishing a novel defocused projection model.
    • Implementing specialized calibration and reconstruction procedures for phase correction.
    • Analyzing error impact via simulations and experimental verification.

    Main Results:

    • A novel defocused projection model was developed and validated.
    • The proposed method significantly improves accuracy in phase-shifting 3D profilometry.
    • Accurate measurement results were obtained even with large depth variations.
    • Simulations and experiments confirmed the method's feasibility and effectiveness.

    Conclusions:

    • The novel defocused projection model effectively corrects defocus-induced errors.
    • The method offers improved accuracy for 3D profilometry, particularly in large depth range scenarios.
    • This approach is expected to provide competitive performance for challenging measurement tasks.