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A flexible calibration method using the planar target with a square pattern for line structured light vision system.

Qiucheng Sun1, Yueqian Hou2, Qingchang Tan3

  • 1School of Mathematics, Changchun Normal University, Changchun, China.

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|September 10, 2014
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Summary
This summary is machine-generated.

This study introduces a flexible calibration method for line structured light vision systems. The approach accurately determines camera intrinsic parameters and calibrates the structured light projector using a planar target, ensuring good repeatability and accuracy.

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Area of Science:

  • Computer Vision
  • Metrology
  • Optical Engineering

Background:

  • Line structured light vision systems are crucial for 3D reconstruction and measurement.
  • Accurate calibration of both camera and projector is essential for reliable system performance.
  • Existing calibration methods can be complex or lack flexibility.

Purpose of the Study:

  • To propose a flexible and accurate calibration approach for line structured light vision systems.
  • To develop a novel method for calibrating the structured light projector.
  • To enhance the repeatability and accuracy of 3D measurements.

Main Methods:

  • Establish a camera model to determine intrinsic parameters by transforming 2D image points to the world coordinate frame.
  • Utilize a planar target with a square pattern, moved randomly, for projector calibration.
  • Employ a simple linear model to determine the target's plane equation, extract light stripe center control points, and project them into the camera coordinate frame to determine the structured light plane.

Main Results:

  • The proposed method accurately determines camera intrinsic parameters.
  • The novel projector calibration method demonstrates effectiveness using geometric information and control points.
  • Experimental data confirm good repeatability and accuracy of the flexible calibration approach.

Conclusions:

  • The developed flexible calibration method offers a robust solution for line structured light vision systems.
  • The approach simplifies projector calibration while maintaining high accuracy.
  • This work contributes to improved 3D measurement accuracy and system reliability.