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Camera Calibration Using Gray Code.

Seppe Sels1, Bart Ribbens2, Steve Vanlanduit3

  • 1Faculty of Applied Engineering Department Electromechanics, Universiteit Antwerpen, Groenenborgerlaan 171, 2020 Antwerpen, Belgium. seppe.sels@uantwerpen.be.

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Summary
This summary is machine-generated.

This study introduces a novel camera calibration method using Gray-code patterns on an LCD screen, offering more precise 3D location data than traditional checkerboard methods. The new approach enhances focal-length estimation accuracy for improved camera calibration.

Keywords:
Gray codecamera calibrationcheckerboard

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Area of Science:

  • Computer Vision
  • Metrology

Background:

  • Standard camera calibration relies on checkerboard patterns.
  • Checkerboard methods have limitations in capturing dense 3D location data.

Purpose of the Study:

  • To propose an alternative camera calibration technique using Gray-code patterns.
  • To enhance the precision of camera parameter estimation.

Main Methods:

  • Utilizing Gray-code patterns displayed on an LCD screen for calibration.
  • Decoding 3D location information at each pixel via Gray-code patterns.
  • Comparing results with traditional checkerboard calibration.

Main Results:

  • Gray-code patterns provide dense 3D location information across the entire image.
  • Achieved 1.5 times greater precision in focal-length estimation for a UEye CMOS camera compared to checkerboard calibration.

Conclusions:

  • The proposed Gray-code pattern method offers superior precision for camera calibration.
  • This technique overcomes the limitations of sparse data points from checkerboard patterns.