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    Area of Science:

    • Optics and Photonics
    • 3D Metrology
    • Computer Vision

    Background:

    • Traditional structured light measurements rely solely on light intensity.
    • Light polarization offers an underutilized dimension for encoding information.
    • Existing methods for polarized structured light can be complex or inefficient.

    Purpose of the Study:

    • To propose and validate a new method for encoding structured light using multiple polarization states.
    • To leverage light polarization as an additional information channel beyond intensity.
    • To improve the accuracy and quality of 3D reconstruction, particularly for challenging surfaces.

    Main Methods:

    • Developed a polarization model linking light color to specific polarization states.
    • Encoded structured light by superposing multiple polarization states.
    • Obtained polarized structured light containing phase information without mechanical polarizer rotation.

    Main Results:

    • Demonstrated improved waveform quality of projected stripes.
    • Achieved higher accuracy in 3D reconstruction results.
    • Successfully applied the method to highly reflective objects, overcoming a common challenge.

    Conclusions:

    • The proposed polarization-based method enhances structured light measurements.
    • This technique offers a more robust approach for 3D reconstruction of complex surfaces.
    • Utilizing light polarization significantly improves measurement fidelity and accuracy.