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Structural Parameters Calibration for Binocular Stereo Vision Sensors Using a Double-Sphere Target.

Zhenzhong Wei¹, Kai Zhao²

¹Key Laboratory of Precision Opto-mechatronics Technology (Beihang University), Ministry of Education, Beijing 100191, China. zhenzhongwei@buaa.edu.cn.

Sensors (Basel, Switzerland)

|July 16, 2016

Summary

This study introduces a novel calibration method for binocular stereo vision sensors (BSVS) using a double-sphere target. The technique achieves high-precision measurements, exceeding 0.9‰ accuracy, crucial for advanced applications.

Keywords:

binocular stereo vision sensor double-sphere target structural parameters calibration

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Area of Science:

Computer Vision
Robotics
Metrology

Background:

Accurate structural parameter calibration is essential for high-precision measurements using binocular stereo vision sensors (BSVS).
Existing calibration methods may lack robustness or require complex setups.

Purpose of the Study:

To propose and validate a novel method for calibrating the structural parameters of BSVS.
To achieve high-precision measurements using a double-sphere target for calibration.

Main Methods:

Utilizes a double-sphere target placed in various positions and orientations.
Employs image points of sphere centers and depth-scale factors to determine spatial plane normals.
Solves rotation matrix (R) and translation vector (T) using epipolar geometry and refines them via nonlinear optimization.

Main Results:

The proposed method demonstrates high measurement accuracy, exceeding 0.9‰.
Simulations confirm robustness against image noise, target placement variations, and depth-scale factor uncertainties.
Experimental results validate the method's effectiveness in real-world scenarios.

Conclusions:

The double-sphere target calibration method provides a reliable and accurate approach for BSVS.
The technique offers a practical solution for achieving sub-millimeter measurement accuracy in diverse applications.