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Motion-induced error reduction for binary defocusing profilometry via additional temporal sampling.

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    This study introduces a novel method to reduce motion errors in 3D shape measurement using digital fringe projection. By capturing fringe patterns twice, it effectively compensates for phase errors, enhancing measurement accuracy.

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    Area of Science:

    • Optics and Photonics
    • Metrology
    • Computer Vision

    Background:

    • Digital fringe projection systems enable 3D shape measurement.
    • Binary defocusing techniques offer speed improvements.
    • Motion-induced phase errors limit accuracy in multi-shot phase-shifting algorithms.

    Purpose of the Study:

    • To propose and validate a method for reducing motion-induced phase errors in 3D shape measurement.
    • To enhance the accuracy and reliability of digital fringe projection systems under motion.
    • To enable high-speed 3D shape measurement by mitigating motion artifacts.

    Main Methods:

    • Utilizing a binary defocusing technique with additional temporal sampling.
    • Capturing each fringe pattern twice per projection cycle to obtain two sets of phase-shifted images.
    • Separating motion-induced phase error by evaluating differences between phase maps.
    • Applying an iterative compensation strategy for phase error correction.
    • Investigating various synchronization schemes to assess error compensation.

    Main Results:

    • The proposed method effectively separates and compensates for motion-induced phase errors.
    • Iterative compensation leads to high-quality phase maps.
    • Simulations and experiments confirm substantial reduction in measurement errors.
    • The technique bypasses rigid camera-projector synchronization requirements.

    Conclusions:

    • The developed method significantly reduces motion-induced errors in 3D shape measurement.
    • The approach is suitable for high-speed 3D measurement applications.
    • Binary defocusing combined with temporal sampling offers a robust solution for dynamic scenarios.