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A three-dimensional vision measurement method based on double-line combined structured light.

Mingze Wang1, Qiucheng Sun2, Changbo Gao1

  • 1College of Computer Science and Technology, Changchun Normal University, Changchun, 130032, China.

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|November 1, 2023
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Summary
This summary is machine-generated.

This study introduces a novel structured light vision method for precise 3D object reconstruction. The technique uses a scanning laser plane and a positioning laser plane for accurate surface shape measurement.

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Area of Science:

  • Optics and Photonics
  • Computer Vision
  • Metrology

Background:

  • Structured light vision is crucial for 3D reconstruction.
  • Existing methods often require complex calibration and movement control.
  • Real-time adaptation is needed for dynamic measurement scenarios.

Purpose of the Study:

  • To propose a novel structured light vision measurement method.
  • To enable precise 3D reconstruction with real-time calibration.
  • To overcome limitations of scanning direction and step determination.

Main Methods:

  • A scanning laser plane slides along a rail, maintaining intersection with a positioning laser plane.
  • Real-time calibration is achieved using geometric barycenter and projection methods.
  • Laser plane equations are recalibrated dynamically for each new position.

Main Results:

  • The method successfully performs 3D reconstruction of objects.
  • Accuracy was verified through measurements on gauge blocks.
  • Precise and stable 3D reconstruction of object surface shape was demonstrated.

Conclusions:

  • The proposed structured light vision method offers accurate and stable 3D surface reconstruction.
  • Real-time calibration enhances measurement efficiency and precision.
  • This technique provides a robust solution for object shape measurement.