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一种基于圆形标志点的摄像机标定方法 被引量:6

AN CAMERA CALIBRATION METHOD BASE ON CIRCULAR FEATURE POINTS
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摘要 摄像机标定是估计成像过程中的摄像机参数,它直接影响测量的准确性。本文针对圆形标定板的特性,提出了一种基于圆形标志点的摄像机标定方法。首先,提取图像中目标轮廓,用区域属性函数获得图像中目标的属性,计算出标志圆质心的坐标;然后用Zhang提出的基于平面两步标定法进行摄像机标定,并对内参数运用最大似然估计求解;外参数运用最小二乘法和最大似然估计算法求解;最后,对标定结果进行评价。实验结果表明,标定残差的平均误差在0.3以下,验证标定方法的可行与有效性。 Camera calibration is the estimation of parameters associated with a camera being used for imaging, which directly affects the accuracy of the measurement. According to the characteristic of circular board, a camera calibration based on the circular feature points was presented. First, extracting the target outlines and obtaining the target properties used to the function can calculate the coor- dinates of calibration circle. Than, calibration camera adopted the plane calibration method put forward by Zhang. The intrinsic param- eters were estimated by means of levenberg - marquardt and the extrinsic parameters were computed by applying to the least square method and levenberg - marquardt. Experimental results show that the mean error of calibration residual is less than 0.3 pixels. So the calibration method is feasible and effective.
出处 《内蒙古农业大学学报(自然科学版)》 CAS 北大核心 2014年第1期155-159,共5页 Journal of Inner Mongolia Agricultural University(Natural Science Edition)
基金 公益性行业(农业)科研专项项目(201203041) 教育部"春晖计划"项目(Z2009-1-01062) 内蒙古农业大学科技创新团队项目(ZN201010)
关键词 摄像机标定 圆形标志点 标定残差 Camera calibration circular feature points calibration residual
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  • 1刘阳成,朱枫.一种新的棋盘格图像角点检测算法[J].中国图象图形学报,2006,11(5):656-660. 被引量:33
  • 2全厚德,闫守成,张洪才.计算机视觉中摄像机标定精度评估方法[J].测绘科学技术学报,2006,23(3):222-224. 被引量:15
  • 3Tsai R Y. A Versatile Camera Calibration Technique for High-accuracy 3D Machine Vision Metrology Using Off-the- Shelf TV Camera and Lenses [J]. IEEE Journal of Robotics and Automation, 1987, 3(4) : 323 - 344.
  • 4Zhang Z Y. A Flexible New Technique for Camera Calibration [R]. Technical Report MSR-TR-98- 71, Microsoft Research, December 1998.
  • 5Zhang Z Y. A flexible new technique for camera calibration [J]. IEEE Transactions on pattern Analysis and Machine Intelligence, 2000, 22(11): 1330- 1334.
  • 6Bin T J, Lei Ao, Cui Jiwen, etal. Subpixel edge location based on orthogonal Fourier-Mellin moments. Image and Vision Computing, 2008, 26(4) : 563 - 569.
  • 7Zhang Z.A flexible new technique for camera calibration[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22 (11):1330-1334.
  • 8Jean-Yves Bouguet.Visual methods for three dimensional modeling[D].Pasadena California:California Institute of Technology,1999.
  • 9Joaquim Salvi,Xavier Armangue,Joan Batlle.A comparative review of camera calibrating methods with accuracy evaluate on[J].Pattern Recognition,2002(35):1617-1635.
  • 10Wei Sun,Jeremy R Cooperstock.An empirical evaluation of factors influencing camera calibration accuracy using three publicly available techniques[J].Machine Vision and Applications,2006,17(1):51-67.

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