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Phase unwrapping algorithm based on phase edge tracking for dynamic measurement.

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    A novel phase unwrapping algorithm enhances dynamic 3D measurements in fringe projection profilometry (FPP). This method reduces phase unwrapping errors (PUEs) and boosts efficiency by tracking phase edges for accurate absolute phase map retrieval.

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    Area of Science:

    • Optical Metrology
    • 3D Reconstruction
    • Computer Vision

    Background:

    • Phase unwrapping is critical for fringe projection profilometry (FPP).
    • Dynamic measurements present challenges like phase unwrapping errors (PUEs) due to noise and motion.
    • Existing methods may limit measurement efficiency.

    Purpose of the Study:

    • To develop an efficient phase unwrapping algorithm for dynamic FPP.
    • To reduce phase unwrapping errors (PUEs) in complex, moving scenes.
    • To increase the frame rate of 3D measurement results.

    Main Methods:

    • A phase unwrapping algorithm based on phase edge tracking is proposed.
    • It utilizes previously unwrapped phase maps to unwrap current maps.
    • Phase edges are tracked to segment the phase map into regions for temporal or spatial unwrapping.

    Main Results:

    • The algorithm significantly increases the frame rate by eliminating the need for extra patterns.
    • It effectively reduces PUEs caused by noise amplification and motion-induced misalignment.
    • High unwrapping accuracy and efficiency were demonstrated in experiments.

    Conclusions:

    • The proposed phase edge tracking algorithm improves dynamic 3D measurement efficiency in FPP.
    • It offers a robust solution for reducing phase unwrapping errors in complex dynamic scenes.
    • This method enables faster and more accurate 3D reconstruction of moving objects.