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Updated: May 14, 2025

Determining 3D Flow Fields via Multi-camera Light Field Imaging
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Multi-Camera Hierarchical Calibration and Three-Dimensional Reconstruction Method for Bulk Material Transportation

Chengcheng Hou1, Yongfei Kang2, Tiezhu Qiao3

  • 1College of Physics and Optoelectronics Engineering, Taiyuan University of Technology, Taiyuan 030024, China.

Sensors (Basel, Switzerland)
|April 12, 2025
PubMed
Summary

This study introduces a novel 3D reconstruction method using multi-camera hierarchical calibration and structured light for bulk material transport systems. The approach improves accuracy and completeness for intelligent monitoring.

Keywords:
bulk materialhierarchical calibrationmulti-camera systemspeckle structured lightthree-dimensional reconstruction

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Area of Science:

  • Engineering
  • Computer Vision
  • Robotics

Background:

  • Accurate 3D information is vital for intelligent control and safety in bulk material transport.
  • Existing visual measurement methods struggle with indistinct features, calibration errors, and unreliable depth fusion.

Purpose of the Study:

  • To develop a robust 3D reconstruction method for bulk material transport systems.
  • To overcome limitations of current visual measurement techniques.

Main Methods:

  • Multi-camera hierarchical calibration with a core camera framework.
  • Speckle structured light projection to enhance surface features.
  • Monocular-binocular-multi-camera association calibration with global optimization.
  • Depth information fusion using multi-epipolar geometric constraints.

Main Results:

  • Achieved high precision with absolute errors < 1 mm for 15 mm features.
  • Reported relative errors ranging from 0.02% to 2.54%.
  • Demonstrated superior point cloud completeness and reconstruction accuracy compared to existing methods.

Conclusions:

  • The proposed method offers reliable technical support for intelligent monitoring of bulk material transport.
  • Enhanced environmental adaptability and accuracy make it suitable for industrial applications.
  • Addresses key challenges in 3D reconstruction for dynamic bulk material handling.