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Related Concept Videos

Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

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Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
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Suppressing motion-induced phase error by using equal-step phase-shifting algorithms in fringe projection

Gaoxu Wu, Tian Yang, Fei Liu

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    |October 12, 2022
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    This summary is machine-generated.

    Equal-step phase-shifting algorithms offer a simpler solution for accurate 3D surface measurement in dynamic scenes. These methods effectively suppress motion-induced errors in fringe projection profilometry.

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    Area of Science:

    • Optics and Photonics
    • Metrology
    • Computer Vision

    Background:

    • Phase-shifting fringe projection profilometry is crucial for 3D surface measurement.
    • Motion-induced errors challenge accuracy in dynamic measurements.
    • Existing correction methods are often complex or require physical markers.

    Purpose of the Study:

    • To introduce equal-step phase-shifting algorithms as a simpler and more effective solution for dynamic profilometry.
    • To investigate the motion-error suppression capabilities of these algorithms.
    • To propose a novel gradient-based equal-step phase-shifting algorithm.

    Main Methods:

    • Approximating phase variations as linear shifts to achieve motion immunity.
    • Adopting classical four-step Carré and five-step Stoilov algorithms.
    • Proposing and evaluating a novel three-step gradient-based equal-step phase-shifting (GEPS) algorithm.

    Main Results:

    • Equal-step algorithms effectively suppress motion-induced errors in both ideal and noisy conditions.
    • The Stoilov algorithm shows robustness against motion and harmonics.
    • The GEPS algorithm requires the minimum number of frames.

    Conclusions:

    • Equal-step algorithms provide immediate motion-error suppression in dynamic profilometry.
    • These algorithms offer a simpler implementation for phase extraction.
    • The choice of algorithm depends on balancing motion robustness, harmonic suppression, and frame count.