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Calibration of the Relative Orientation between Multiple Depth Cameras Based on a Three-Dimensional Target.

Zhe Liu1,2, Zhaozong Meng2, Nan Gao2

  • 1State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China.

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|July 11, 2019
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Summary

This study introduces a novel 3D target for calibrating multiple depth cameras, improving 3D shape reconstruction and machine vision. The method enhances accuracy by unifying camera coordinates and optimizing the calibration process.

Keywords:
lidarmultiple depth camerasorientation calibrationthree-dimensional target

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Area of Science:

  • Computer Vision
  • Robotics
  • 3D Imaging

Background:

  • Depth cameras are crucial for 3D reconstruction, machine vision, and AR/VR.
  • Single depth cameras have limited fields of view, necessitating multiple cameras for complete 3D information.
  • Accurate calibration of multiple depth cameras is essential but challenging with traditional methods.

Purpose of the Study:

  • To propose a novel 3D target-based method for calibrating multiple depth cameras.
  • To overcome limitations of planar targets in unifying coordinate systems and handling small overlapping fields of view.
  • To enhance the accuracy and reliability of multi-depth camera calibration.

Main Methods:

  • A 3D target with multiple planes is used, with each plane calibrating an independent depth camera.
  • All planes are unified into a single coordinate system for simultaneous calibration.
  • A precise calibration method using lidar is proposed, applicable to various 3D calibration objects.
  • Depth camera calibration process is optimized to mitigate infrared transmitter interference.

Main Results:

  • The proposed 3D target enables simultaneous calibration of multiple depth cameras.
  • The lidar-assisted calibration method significantly reduces errors compared to traditional techniques.
  • Optimized calibration process improves accuracy by minimizing interference.
  • Experimental results validate the reliability and effectiveness of the proposed method.

Conclusions:

  • The 3D target-based calibration method offers a robust solution for multi-depth camera systems.
  • The approach enhances accuracy and efficiency in 3D shape reconstruction and related applications.
  • This method provides a significant advancement over conventional calibration techniques for depth cameras.