摘要
提出了一种基于自由移动平面圆靶标的摄像机标定算法,由摄像机拍摄自由移动平面圆靶标的多幅图像,利用欧氏空间中平面模板上的不变量作为约束,采用非线性优化技术估计摄像机的内部参数。该方法操作简单,具有较高的精度和较好的稳定性,且抗遮挡,无需进行特征匹配,适用于在线标定和自标定。仿真实验和真实图像实验结果均表明,该算法准确、可靠。
A camera self-calibration method based on coplanar circles is presented.The algorithm utilizes the invariants in the Euclidean space such as circle radius,the distance between circle centres and norm of the supporting plane to solve the intrinsic parameters of camera through multi-views of coplanar circles.The proposed approach is simple and has higher accuracy and stability.The calibration result is obtained by non-linear optimizing method.The method has also the features of cover-resisting,and it has no need of the complicate feature matching process.The calibration result is obtained by non-linear optimizing method.The results of simulation and experiment show that the method is suitable for online calibration and self calibration.
出处
《光电子．激光》
EI
CAS
CSCD
北大核心
2009年第12期1576-1579,共4页
Journal of Optoelectronics·Laser
基金
国家自然科学基金资助项目(60875014)
教育部新世纪优秀计划资助项目(NCET-07-0043)
北京市自然科学基金资助项目(3092014)
关键词
平面圆靶标
自标定
欧氏不变量
coplanar circle
auto calibration
euclidean invariant
