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    Area of Science:

    • Metrology
    • Optical Engineering
    • Computer Vision

    Background:

    • 360-degree profilometry enables full object digitization but faces challenges with data bandwidth and self-occluding shadows.
    • Existing methods like spatial-carrier Fourier profilometry utilize only a fraction of the available data bandwidth.
    • Intensity-based line detection algorithms are generally less accurate than phase-measuring techniques.

    Purpose of the Study:

    • To present a new experimental setup for 360-degree profilometry.
    • To enable full phase-bandwidth phase-measuring algorithms for improved 3D digitization accuracy.
    • To overcome limitations of existing 360-degree fringe-projection profilometers, specifically self-occluding shadows.

    Main Methods:

    • Development of a novel fringe-projection setup for 360-degree solids digitizing.
    • Application of base-band, phase-stepping algorithms for full data phase-bandwidth utilization.
    • Implementation of a simplified line-by-line data assembly within a shared cylindrical coordinate system.

    Main Results:

    • The proposed setup achieves high-resolution, low-noise 3D surface digitization of solids with diffuse surfaces.
    • The base-band phase-stepping approach provides full data phase-bandwidth, outperforming band-pass methods.
    • The new fringe-projection geometry effectively eliminates self-occluding shadows for convex objects.

    Conclusions:

    • The developed 360-degree profilometer offers superior accuracy and data bandwidth for 3D surface measurement.
    • The system's design simplifies data assembly and avoids common issues like self-occluding shadows.
    • Scalability for higher resolution and reduced noise is achievable by increasing angular resolution and phase steps.