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Related Experiment Video

Updated: Aug 26, 2025

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
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Quasi-pixelwise motion compensation for 4-step phase-shifting profilometry based on a phase error estimation.

Jie Yu, Songping Mai

    Optics Express
    |October 12, 2022
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    This study introduces a new 4-step phase-shifting profilometry (PSP) method to reduce motion errors in 3D shape measurement. The technique effectively compensates for phase errors, improving accuracy for dynamic and deforming objects.

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    Area of Science:

    • Optics
    • Metrology
    • Computer Vision

    Background:

    • Phase-shifting profilometry (PSP) is a key technique for accurate 3D shape measurement.
    • Dynamic object motion during PSP introduces significant phase-shifting errors, compromising measurement accuracy.
    • Existing methods struggle to effectively correct motion-induced errors in real-time applications.

    Purpose of the Study:

    • To develop a novel compensation method for reducing motion-induced errors in 4-step PSP.
    • To enhance measurement accuracy for objects undergoing uniform or uniformly accelerated motion.
    • To enable high-quality 3D reconstruction and texture restoration for dynamic and deforming objects.

    Main Methods:

    • A novel compensation algorithm based on 4-step phase-shifting profilometry.
    • Utilizing the periodic characteristics of fringe patterns to estimate pixel-wise phase errors.
    • Applying error compensation to correct for motion-induced distortions in dynamic scenarios.

    Main Results:

    • The proposed method effectively reduces motion-induced errors in 3D shape measurement.
    • Demonstrated significant improvement in measurement accuracy through simulations and experiments.
    • Successfully reduced surface ripples caused by object motion in a monocular structured-light system.

    Conclusions:

    • The novel 4-step PSP compensation method offers a robust solution for dynamic 3D measurements.
    • The technique is applicable to both rigid and non-rigid deforming objects, restoring high-quality texture.
    • This advancement improves the reliability and accuracy of structured-light systems in challenging dynamic environments.