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Kinematic target surface sensing based on improved deep optical flow tracking.

Lei Lu, Hao Liu, Hongliang Fu

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    |November 29, 2023
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    Summary
    This summary is machine-generated.

    This study introduces a new method for reconstructing moving 3D object surfaces using affordable monochrome cameras. The technique accurately tracks complex 2D movements, overcoming limitations of existing optical methods.

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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Mechanical Engineering

    Background:

    • Reconstructing moving 3D surfaces is crucial for applications in manufacturing and robotics.
    • Existing methods like phase-shifting profilometry struggle with motion artifacts or require expensive equipment.
    • Current motion tracking often assumes simple 2D translation, limiting applicability.

    Purpose of the Study:

    • To develop a novel, cost-effective method for reconstructing dynamic 3D object surfaces.
    • To enable accurate surface reconstruction of objects undergoing arbitrary 2D movement.
    • To utilize affordable monochrome cameras for 3D surface metrology.

    Main Methods:

    • An improved RAFT optical flow algorithm is proposed for direct tracking of object fringe patterns.
    • Feature points are extracted robustly, independent of fringe pattern illumination variations.
    • RANSAC and iterative selection refine feature points for high-quality optical flow estimation.

    Main Results:

    • The method successfully reconstructs kinematic object surfaces with arbitrary 2D movement.
    • Feature point retrieval is demonstrated to be immune to illumination changes.
    • Experimental validation confirms the effectiveness of the proposed dynamic surface reconstruction technique.

    Conclusions:

    • The proposed method offers a new approach to 3D surface reconstruction of moving objects.
    • It overcomes the limitations of high-cost equipment and restricted movement assumptions.
    • This technique provides a practical solution for dynamic 3D metrology using standard monochrome cameras.