• 论文 • 上一篇    下一篇

一种抛物面镜摄像机的配置及标定方法

张备伟,严春燕   

  1. 南京财经大学  信息工程学院, 南京 210046
  • 出版日期:2015-01-25 发布日期:2015-04-08

张备伟,严春燕. 一种抛物面镜摄像机的配置及标定方法[J]. 系统科学与数学, 2015, 35(1): 31-41.

ZHANG Beiwei,YAN Chunyan. A NEW METHOD FOR CONFIGURATION AND\\ CALIBRATION OF PARABOLIC CAMERA[J]. Journal of Systems Science and Mathematical Sciences, 2015, 35(1): 31-41.

A NEW METHOD FOR CONFIGURATION AND\\ CALIBRATION OF PARABOLIC CAMERA

ZHANG Beiwei ,YAN Chunyan   

  1. College of Information Engineering, Nanjing University of Financial and Economics, Nanjing 210046
  • Online:2015-01-25 Published:2015-04-08

着重解决如何将抛物面镜与普通CCD摄像机配置成满足中心投影约束的全景摄像机及其参数标定问题.首先通过数值仿真实验给出全景摄像机的配置与拟合误差之间的关系图,从而确定最佳参数配置范围.接着,研究了利用空间平面的图像信息标定抛物面镜摄像机的算法.在摄像机内参数已知情况下,借助平面诱导的单应矩阵将标定问题转化为多项式特征值问题,从而获得待标定参数的解析解,避开复杂的数值计算,达到快速标定参数的目的.结果表明,该算法最少只需5对图像匹配点便可以实现问题求解.最后,通过数值仿真实验和真实图像实验验证算法的有效性和鲁棒性.

This paper mainly solves the problems of how to efficiently configure and calibrate a parabolic camera composed by one parabolic mirror and one traditional CCD camera, which satisfies the constraint of central projection. Firstly, the relationship between various configuration parameters and its corresponding system errors is tested and depicted using numerical simulation experiments, with which the range for best configuration parameters is obtained. Then, a new algorithm is suggested for calibrating the parabolic camera with the image information of a spatial plane. With the known intrinsic parameters, the calibration problem is formulated into a fourth order polynomial eigenvalue problem via the plane-induced Homographic matrix. An analytic solution is obtained to avoid the complicated numerical computation, and hence rapid calibration is achieved. The results also show that five or more pairs of corresponding image points are sufficient for solving this problem. Finally, numerical simulation and real data experiments are performed to validate the accuracy and robustness of the proposed algorithm, and satisfactory results are obtained in those experiments.

MR(2010)主题分类: 

()
No related articles found!
阅读次数
全文


摘要