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High dynamic range real-time 3D shape measurement.

Chufan Jiang, Tyler Bell, Song Zhang

    Optics Express
    |May 4, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel method for real-time 3D shape measurement of high-contrast surfaces. By using complementary fringe patterns, the technique enhances dynamic range without altering camera settings.

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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Metrology

    Background:

    • Measuring high-contrast surfaces poses challenges due to extreme variations in surface reflectivity.
    • Traditional 3D shape measurement techniques often struggle with dynamic range limitations, leading to data loss or saturation.

    Purpose of the Study:

    • To develop a real-time 3D shape measurement method capable of handling high-contrast surfaces.
    • To overcome the limitations of camera exposure control in dynamic range measurements.

    Main Methods:

    • Proposed a novel approach utilizing 180-degree phase-shifted (inverted) fringe patterns alongside regular fringe patterns.
    • Implemented a strategy to selectively use inverted patterns for phase retrieval when regular patterns saturate.
    • Developed a dual-pattern computation method (original and inverted) for phase error reduction when all regular patterns are saturated.

    Main Results:

    • Successfully demonstrated real-time 3D shape measurement of high-contrast surfaces.
    • The proposed method effectively extends the dynamic range of 3D measurements without manual exposure adjustments.
    • Experimental validation confirmed the efficacy of using complementary fringe patterns for improved phase computation.

    Conclusions:

    • The proposed high dynamic range method enables accurate and real-time 3D shape measurement for challenging surfaces.
    • This technique offers a significant advancement in optical metrology for applications requiring high dynamic range imaging.
    • The complementary fringe pattern approach provides a robust solution for overcoming saturation issues in 3D surface reconstruction.