A Camera Intrinsic Matrix-Free Calibration Method for Laser Triangulation Sensor.

Area of Science:

• Optics and Photonics
• Metrology and Measurement Science
• Robotics and Automation

Background:

• Laser triangulation sensors (LTS) are crucial for industrial depth acquisition.
• Unknown component parameters, particularly camera intrinsics, hinder recalibration of off-the-shelf LTS.

Purpose of the Study:

• To develop a novel, camera intrinsic matrix-free calibration method for LTS.
• To address the challenges of recalibrating degenerated LTS devices during maintenance.

Main Methods:

• Proposed a one-dimensional target-based calibration approach.
• Formulated LTS calibration as an optimization problem considering all sensor parameters simultaneously.
• Introduced a closed-form solution for target positioning to enable LTS parameter optimization.

Main Results:

• Successfully calibrated LTS without prior knowledge of the camera intrinsic matrix.
• Demonstrated significant improvement in displacement measurement precision post-calibration.
• Validated the method through simulations and experimental results.

Conclusions:

• The precise camera intrinsic matrix is not a prerequisite for accurate LTS displacement measurement.
• The proposed method offers a practical solution for recalibrating LTS in industrial settings.
• This technique enhances the reliability and accuracy of depth sensing technologies.