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In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
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A Coupled Calibration Method for Dual Cameras-Projector System with Sub-Pixel Accuracy Feature Extraction.

Ran Jia1, Junpeng Xue1, Wenbo Lu1

  • 1School of Aeronautics and Astronautics, Sichuan University, Chengdu 610065, China.

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|March 28, 2024
PubMed
Summary

This study introduces a coupled calibration method for dual camera-projector (DCP) systems, improving 3D measurement accuracy in complex scenes. The novel approach ensures consistent projector parameters, enhancing overall system performance.

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3D shape measurementbinocularphase targetprojector calibration

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Area of Science:

  • Optical Metrology
  • Computer Vision
  • 3D Reconstruction

Background:

  • Binocular structured light systems are crucial for 3D measurements.
  • Dual Camera-Projector (DCP) systems, comprising two Single Camera-Projector (SCP) pairs, are used for complex scenes.
  • Separate calibration of SCPs in DCP systems leads to projector parameter inconsistencies and reduced accuracy.

Purpose of the Study:

  • To propose a coupled calibration method for DCP systems to ensure projector parameter consistency.
  • To improve the accuracy and maneuverability of 3D measurements in challenging environments.
  • To address the limitations of separate SCP calibration in DCP systems.

Main Methods:

  • A coupled calibration method using an orthogonal phase target for DCP systems.
  • Unique determination of 3D coordinates via the binocular camera within the DCP system.
  • Calculation of projector image plane coordinates using unwrapped phase and plane calibration.
  • Sub-pixel feature point extraction via polynomial fitting on the orthogonal phase target.

Main Results:

  • Ensured consistency of projector parameters within the DCP system.
  • Achieved unique 3D coordinate determination using the binocular camera.
  • Experimental reprojection error was found to be less than 0.033 pixels.
  • Demonstrated significant improvement in calibration accuracy.

Conclusions:

  • The proposed coupled calibration method effectively resolves projector parameter inconsistencies in DCP systems.
  • This method enhances the accuracy of 3D measurements, particularly in complex and reflective scenes.
  • The use of an orthogonal phase target and polynomial fitting contributes to sub-pixel accuracy and improved maneuverability.