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    This study introduces an adaptive moiré pattern generation method to improve 3D surface measurement precision. The new technique ensures uniform moiré fringe spacing, reducing errors in projection moiré systems.

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    Area of Science:

    • Optical Metrology
    • 3D Surface Reconstruction
    • Computational Imaging

    Background:

    • Projection moiré systems typically produce non-uniform fringe spacing.
    • This non-uniformity leads to increased low modulation regions and local measurement errors.
    • Existing methods struggle with arbitrary surface geometries and phase jump errors.

    Purpose of the Study:

    • To develop an adaptive moiré pattern generation method for projection moiré systems.
    • To improve full-field measurement precision by achieving uniform moiré patterns.
    • To enable accurate 3D morphology acquisition on continuous surfaces without phase jump errors.

    Main Methods:

    • Formulating the relationship between surface contour and moiré fringe spacing.
    • Modulating the period of the projected fringe adaptively.
    • Developing a corresponding calculation algorithm for 3D morphology retrieval.

    Main Results:

    • Achieved a uniform moiré pattern, significantly improving measurement precision.
    • Demonstrated applicability to arbitrarily arranged projection moiré systems.
    • Successfully acquired 3D morphology on continuous surfaces without phase jump errors.

    Conclusions:

    • The adaptive moiré pattern generation method enhances projection moiré system accuracy.
    • The developed technique offers a robust solution for 3D surface measurement on complex geometries.
    • This method overcomes limitations of traditional projection moiré techniques, reducing measurement errors.