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A binocular camera calibration method based on circle detection
Chengli Zhao1, Chenyang Fan2,3, Zhangyan Zhao1
1School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, 430063, China.
Heliyon
|October 14, 2024
Summary
This study presents an improved camera calibration method for binocular vision systems. By combining bundle adjustment and diagonal constraints, it enhances measurement accuracy in diverse engineering applications.
Area of Science:
- Computer Vision
- Metrology
- Robotics
Background:
- Accurate camera calibration is essential for precise binocular measurement.
- Existing methods struggle with variable environments and engineering demands.
- Binocular vision systems require high calibration accuracy.
Purpose of the Study:
- To develop an improved camera calibration method for binocular vision.
- To enhance calibration accuracy beyond existing techniques.
- To meet the demands of variable calibration environments and engineering applications.
Main Methods:
- Utilizing Zhang's calibration method for initial parameter estimation.
- Employing an improved Canny edge detection for sub-pixel ellipse center extraction.
- Applying bundle adjustment and diagonal constraints for parameter optimization.
Main Results:
- The proposed method significantly improves camera calibration accuracy.
- Experimental results demonstrate superior performance compared to existing methods.
- The technique shows practical engineering application value.
Conclusions:
- The novel camera calibration approach enhances precision in binocular vision.
- Bundle adjustment and diagonal constraints effectively optimize calibration parameters.
- This method offers a valuable solution for demanding engineering applications.
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