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Related Experiment Video

Updated: Jan 1, 2026

Determining 3D Flow Fields via Multi-camera Light Field Imaging
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Calibration based on ray-tracing for multi-line structured light projection system.

Xiaoting Lu, Qingyang Wu, Haotao Huang

    Optics Express
    |December 28, 2019
    PubMed
    Summary
    This summary is machine-generated.

    A new ray-tracing calibration method simplifies and enhances 3D reconstruction accuracy for Multi-line Structured Light Projection Systems (MSLPS). This approach avoids complex projector calibration, making it ideal for large visual fields and practical applications.

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    Area of Science:

    • Computer Vision
    • Optical Metrology
    • 3D Reconstruction

    Background:

    • Multi-line Structured Light Projection Systems (MSLPS) offer advantages in high-speed dynamic 3D reconstruction over Phase Modulation Systems (PMS).
    • Existing MSLPS calibration methods are often complex or lack accuracy, especially in large visual fields, due to lens distortion and the need for projector calibration.

    Purpose of the Study:

    • To develop an accurate and robust calibration method for MSLPS that simplifies the process and improves 3D reconstruction.
    • To establish a direct relationship between 2D image coordinates and 3D world coordinates without projector calibration.

    Main Methods:

    • A novel ray-tracing calibration technique is proposed.
    • The method establishes an accurate relationship between subpixel coordinates of bending line structured light planes and 3D coordinates within the camera's coordinate system.
    • Calibration is performed using a standard checkerboard target placed at random positions.

    Main Results:

    • The proposed ray-tracing method achieves accurate and robust 3D reconstruction.
    • It demonstrates superior performance compared to existing line structured light calibration strategies.
    • The calibration process is significantly simpler and easier to implement.

    Conclusions:

    • The developed ray-tracing calibration method offers a more practical and accurate solution for MSLPS.
    • It effectively addresses the limitations of existing methods, particularly for large visual field applications.
    • The simplified calibration procedure enhances the suitability of MSLPS for real-world applications.