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Precision Measurements and Parametric Models of Vertebral Endplates
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Computer-aided-design-model-assisted absolute three-dimensional shape measurement.

Beiwen Li, Tyler Bell, Song Zhang

    Applied Optics
    |October 20, 2017
    PubMed
    Summary
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    This study presents an adaptive algorithm for 3D shape measurement using computer-aided-design (CAD) models. This method efficiently recovers absolute 3D geometry from fringe images, even for complex objects.

    Area of Science:

    • Metrology
    • Computer Vision
    • Optical Measurement

    Background:

    • Conventional 3D shape measurement techniques often lack specificity.
    • Object geometry preknowledge can optimize measurement efficiency.
    • General methods may be suboptimal when CAD models are available.

    Purpose of the Study:

    • To introduce a novel adaptive algorithm for absolute 3D shape measurement.
    • To leverage object computer-aided-design (CAD) models for enhanced measurement accuracy and efficiency.
    • To demonstrate the algorithm's effectiveness with limited fringe images.

    Main Methods:

    • Exporting 3D point cloud data from CAD models.
    • Transforming CAD models into the camera perspective.
    • Obtaining wrapped phase maps from three phase-shifted fringe images.

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  • Retrieving absolute phase and 3D geometry using CAD-assisted methods.
  • Main Results:

    • The proposed algorithm efficiently recovers absolute 3D geometries.
    • Successful measurement of both simple and complex objects demonstrated.
    • Effectiveness shown using only three phase-shifted fringe images.

    Conclusions:

    • Object CAD models significantly enhance absolute 3D shape measurement.
    • The adaptive algorithm offers an efficient solution for 3D geometry recovery.
    • This approach provides accurate measurements with minimal data acquisition.