3D测量系统中的高精度摄像机标定算法

被引:21
作者
李中伟
王从军
史玉升
机构
[1] 华中科技大学材料成形与模具技术国家重点实验室
关键词
计算机视觉; 摄像机标定; 非线性优化;
D O I
暂无
中图分类号
TP391.41 [];
学科分类号
080203 ;
摘要
本文在分析完整的摄像机镜头畸变模型的基础上,提出了一种新的标定算法。该算法包括三个步骤,首先在不考虑镜头畸变的情况下利用标定块上的中间若干个点,采用线性优化方法求出除畸变系数以外的其他外部参数和主要的内部参数;然后固定上述已求得的参数,利用线性优化方法求解畸变系数;最后对所有内部参数和外部参数进行全局非线性优化。最后对本文的标定算法进行了标定实验,实验结果表明,本文算法的标定精度可以达到0.0367mm,可以满足高精度三维测量及其他应用的要求。
引用
收藏
页码:58 / 63
页数:6
相关论文
共 13 条
  • [1] A new easy camera calibration technique based on circular points. Meng X,Hu Z. Pattern Recognition . 2003
  • [2] Key techniques for vision measurement of3D object surface. Yang H,,Zhang S,Guo G,et al. Sixth International Symposium on Instrumentation and Control Technology:Signal Analysis,Measurement Theory,Photo-Electronic Technology,and Artificial Intelligence . 2006
  • [3] A flexible new technique for camera calibration. Zhang Z. IEEE Transactions on Pattern Analysis and Machine Intelligence . 2000
  • [4] High precision camera calibration in vision measurement. Song L M,Wang M P,Lu L,et al. Optics and Laser Technology . 2007
  • [5] Autocalibration from Planar Scenes. Triggs Bill. Proceedings of the5th European Conference on Computer Vision . 1998
  • [6] Autocalibration from Planar Scenes. Triggs Bill. Proceedings of the5th European Conference on Computer Vision . 1998
  • [7] Camera calibration technique with planar scenes. Zhang Y,Zhang Z,Zhang J. Machine Vision Applications in Industrial Inspection XI . 2003
  • [8] Camera Calibration with Distortion Models and Accuracy Evaluation. Juyang Weng,,Paul Cohen,and Marc Herniou. IEEE Transactions on Pattern Analysis and Machine Intelligence . 1992
  • [9] A versatile camera calibration technique for high-accuracy3D machine vision metrology using off-the-shelf TV cameras and lenses. Tsai R. IEEE J.Robotics and Automation . 1987
  • [10] On Plane-Based Camera Calibration:A General Algorithm,Singularities,Applications. Sturm P,Maybank J. Proceeding of the IEEE Conference on Computer Vision Pattern Recognition . 1999