Research on camera calibration optimization method based on improved sparrow search algorithm

被引：2
|
作者：
Guo, Jia [1 ]
Zhu, Yun [1 ]
Wang, Jianyu [1 ]
Du, Shuai [1 ]
He, Xin [1 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Automation, Nanjing, Peoples R China
来源：
JOURNAL OF ELECTRONIC IMAGING | 2023年 / 32卷 / 01期
关键词：
Camera calibration; sparrow search algorithm; elite opposition-based learning;
D O I：
10.1117/1.JEI.32.1.013040
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Accurate calibration of camera internal parameters is an important step in realizing three-dimensional object reconstruction and target location. Large reprojection error is a frontier problem in the field of camera calibration. A real calibration image dataset and a reprojection error model are established. In combination with the fast iteration of elite opposition-based learning strategy and the population diversity of sparrow search algorithm, the calibration parameters were optimized to improve the accuracy of calibration parameters and reduce the reprojection error. Experimental results demonstrate the effectiveness of the proposed algorithm. It can effectively reduce the reprojection error.
引用
收藏
页数：16
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