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Enhanced phase-coding method for three-dimensional shape measurement with half-period codeword.

Yuwei Wang, Lu Liu, Jun Wu

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    |November 2, 2019
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    Summary
    This summary is machine-generated.

    This study introduces an enhanced phase-coding method for 3D shape measurement. The new approach uses half-period codewords to prevent fringe order errors, improving 3D shape recovery accuracy.

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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Metrology

    Background:

    • The phase-coding method is standard for 3D shape measurement using phase-shifting and stair phase-coding patterns.
    • Misalignment between wrapped phase and fringe order due to noise causes errors in 3D shape reconstruction.
    • Existing methods struggle with fringe order accuracy, limiting 3D measurement reliability.

    Purpose of the Study:

    • To develop an enhanced phase-coding method that overcomes fringe order errors in 3D shape measurement.
    • To improve the accuracy and reliability of 3D shape reconstruction in the presence of noise and blurring.
    • To extend the coding range of phase-coding techniques for broader applicability.

    Main Methods:

    • An enhanced phase-coding method utilizing half-period codewords aligned to sinusoidal patterns.
    • Calculation of two complementary fringe orders with half-period dislocation to eliminate errors.
    • Development of a computational scheme based on the geometric constraint method to extend coding range.

    Main Results:

    • The enhanced method effectively eliminates fringe order errors by aligning codewords to half-period sinusoidal patterns.
    • Complementary fringe orders with half-period dislocation ensure accurate phase unwrapping.
    • Simulations and experiments validate the reliable recovery of 3D object shapes.

    Conclusions:

    • The enhanced phase-coding method significantly improves the accuracy of 3D shape measurement.
    • This technique offers a robust solution for overcoming common errors in phase-coding-based 3D reconstruction.
    • The developed method provides reliable 3D shape recovery for measured objects.