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High-speed real-time 3D shape measurement based on adaptive depth constraint.

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    This study introduces an adaptive depth constraint (ADC) for stereo phase unwrapping (SPU) in real-time 3D shape measurement. The ADC method enhances SPU robustness for high-speed fringe projection profilometry (FPP) systems.

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    Area of Science:

    • Optics and Photonics
    • Computer Vision and Image Processing
    • Metrology

    Background:

    • Stereo phase unwrapping (SPU) is crucial for real-time 3D shape measurement using fringe projection profilometry (FPP).
    • Existing SPU methods using geometric constraints struggle with high-frequency fringes and require improved flexibility.
    • Current techniques often necessitate additional fringe patterns or lack adaptability for dynamic measurements.

    Purpose of the Study:

    • To develop a more robust and flexible SPU approach for high-speed, real-time 3D shape measurement.
    • To enhance the reliability of SPU in fringe projection profilometry (FPP) systems, especially with high-frequency fringes.
    • To enable accurate 3D reconstruction using minimal fringe patterns.

    Main Methods:

    • Proposed an adaptive depth constraint (ADC) approach that dynamically updates the measurement volume based on reconstructed geometry.
    • Leveraged spatio-temporal correlation of moving objects to define tighter depth constraints for SPU.
    • Integrated a simplified left-right consistency check and a valid area feedback mechanism to improve robustness and flexibility.

    Main Results:

    • The adaptive depth constraint (ADC) approach significantly enhances the robustness of stereo phase unwrapping (SPU).
    • Successful recovery of absolute 3D geometries for both simple and complex objects was achieved.
    • The method demonstrated effectiveness using only three phase-shifted fringe images, suitable for high-speed applications.

    Conclusions:

    • The proposed adaptive depth constraint (ADC) method offers a robust and flexible solution for real-time 3D shape measurement.
    • This technique improves stereo phase unwrapping (SPU) performance in fringe projection profilometry (FPP), particularly for dynamic scenes and high-frequency fringes.
    • The approach enables accurate 3D reconstruction with minimal data acquisition, advancing high-speed profilometry.