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

Xuzhan Chen¹, Youping Chen¹, Bing Chen¹

¹School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

Sensors (Basel, Switzerland)

|January 20, 2021

Summary

This summary is machine-generated.

This study introduces a new method for calibrating laser triangulation sensors (LTS) without needing the camera intrinsic matrix. This approach simplifies recalibration and enhances displacement measurement precision in industrial applications.

Keywords:

calibration laser triangular sensor one-dimensional target

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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.