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    This study introduces multiview fringe matching profilometry (MFMP) for fast and accurate 3D measurement. This novel approach reconstructs 3D objects from a single fringe pattern, even for discontinuous surfaces.

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    Area of Science:

    • Optical Metrology
    • 3D Imaging
    • Computer Vision

    Background:

    • Traditional optical profilometry methods often require complex setups and multiple fringe patterns.
    • Phase unwrapping is a common challenge in 3D reconstruction, especially for discontinuous surfaces.
    • Projectors are typically used solely for pattern projection, not as imaging devices.

    Purpose of the Study:

    • To propose and validate a novel 3D measurement technique called multiview fringe matching profilometry (MFMP).
    • To enable rapid and precise 3D reconstruction using a single fringe pattern.
    • To overcome limitations of traditional methods, particularly for discontinuous object surfaces.

    Main Methods:

    • MFMP treats the projector as a camera with a reversed light path, enabling multiview matching.
    • Geometric constraints of fringe images between the projector and cameras are utilized.
    • Homonymy points are identified directly without phase unwrapping.

    Main Results:

    • Accurate and rapid 3D object reconstruction is achieved from a single fringe pattern.
    • The MFMP method effectively measures discontinuous surface shapes.
    • Experimental results confirm the approach's effectiveness.

    Conclusions:

    • Multiview fringe matching profilometry (MFMP) offers a significant advancement in 3D measurement.
    • The technique simplifies 3D reconstruction by eliminating the need for phase unwrapping.
    • MFMP provides a robust solution for measuring complex and discontinuous surfaces.