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Accurate three-dimensional measurement for small objects based on the thin-lens model.

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    Summary
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    This study presents a new stereo vision system for precise 3D measurement of small objects. The system achieves high accuracy and an extended depth of field (DOF) using a thin-lens model and autofocus, crucial for advanced manufacturing and robotics.

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    Area of Science:

    • Metrology
    • Optical Engineering
    • Computer Vision

    Background:

    • Accurate measurement of small objects is critical for advanced manufacturing and robotics.
    • Existing stereo vision systems often struggle with achieving both high accuracy and an extended depth of field (DOF) simultaneously, especially at high magnifications.

    Purpose of the Study:

    • To develop a novel stereo vision system capable of measuring small objects with high accuracy and an extended DOF.
    • To leverage a thin-lens model and autofocus capability to overcome limitations in magnification and DOF.

    Main Methods:

    • Development of a stereo vision system incorporating structured light and a thin-lens model.
    • Implementation of a new system calibration scheme and measurement procedures.
    • Extension of the depth of field (DOF) through autofocus capability.

    Main Results:

    • The proposed system achieves accurate calibration and an extended DOF at high magnification.
    • Measurement experiments demonstrated high accuracy, with height errors below 0.55% for protrusions and a standard deviation (STD) of 1.7 µm for fitting planes.
    • Simultaneous achievement of low cost, high accuracy, and extended DOF.

    Conclusions:

    • The developed thin-lens model-based stereo vision system effectively measures small objects with high accuracy and extended DOF.
    • The system offers a cost-effective solution for demanding applications in advanced manufacturing and robotics.
    • The proposed calibration and measurement methods enhance the system's performance and reliability.