Optimisation of Camera Calibration Parameters Based on Multiconditional Constraints
Camera calibration is an important step based on binocular stereo vision technology, and the accuracy of calibration directly affects the accuracy of this visual measurement. In view of the problems of camera calibration, a camera parameter optimisation method based on multiple constraints is proposed. The internal and external parameter values of the camera are calculated as the initial values using Zhang Zhengyou camera calibration method, the parameter optimisation objective function is established through multiple constraints, and the LM algorithm is used to find the optimal parameters. The findings of the experiments indicate a significant enhancement in the precision of camera calibration achieved by the enhanced algorithm, as compared to the traditional approach of the Zhang Zhengyou calibration method..
Authors
- Yue Wang (ORCID: https://orcid.org/0000-0003-2486-6071)
- Xiaoqing Wang (ORCID: https://orcid.org/0000-0001-9067-1876)
- Deyu Zhang (ORCID: https://orcid.org/0000-0002-5676-1285)
- Yuexin Zhang (ORCID: https://orcid.org/0000-0002-7512-8194)
Institutions
- Shenyang Ligong University (CN)
- Anhui University of Technology (CN)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/spic62469.2024.10691621
- Primary Topic
- Satellite Image Processing and Photogrammetry
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China