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BRDF-dependent accuracy of array-projection-based 3D sensors.

Stefan Heist, Peter Kühmstedt, Andreas Tünnermann

    Applied Optics
    |April 5, 2017
    PubMed
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    High-speed 3D shape measurement requires advanced projectors. This study addresses errors in array-projection systems caused by bidirectional reflectance distribution function (BRDF) variations and offers a compensation method.

    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Metrology

    Background:

    • High-speed 3D shape measurement necessitates high-speed projectors.
    • Array projectors offer high-speed pattern projection by utilizing multiple light sources.
    • Variations in projection centers and object surface properties (BRDF) introduce measurement errors.

    Purpose of the Study:

    • Investigate the impact of bidirectional reflectance distribution function (BRDF) on the accuracy of array-projection-based 3D sensors.
    • Develop and propose an error compensation process to mitigate BRDF-dependent inaccuracies.

    Main Methods:

    • Analysis of intensity variations received by cameras due to different projection directions.
    • Characterization of BRDF effects on structured light measurements.

    Related Experiment Videos

  • Development of a novel error compensation algorithm for array projectors.

    • Main Results:

    • Quantified BRDF-dependent errors in array-projection 3D sensing.
    • Demonstrated the effectiveness of the proposed error compensation process in reducing measurement inaccuracies.
    • Showcased the potential for improved accuracy in high-speed 3D shape measurements.

    Conclusions:

    • BRDF significantly influences the accuracy of array-projection 3D sensors.
    • The proposed compensation method effectively reduces BRDF-induced errors.
    • This work enables more reliable high-speed 3D shape measurements using structured light.