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基于平行直线的摄像机标定方法

马长正 董明利 祝连庆 吕乃光

马长正, 董明利, 祝连庆, 等 . 基于平行直线的摄像机标定方法[J]. 北京航空航天大学学报, 2009, 35(10): 1210-1213.
引用本文: 马长正, 董明利, 祝连庆, 等 . 基于平行直线的摄像机标定方法[J]. 北京航空航天大学学报, 2009, 35(10): 1210-1213.
Ma Changzheng, Dong Mingli, Zhu Lianqing, et al. Camera calibration with parallel lines[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(10): 1210-1213. (in Chinese)
Citation: Ma Changzheng, Dong Mingli, Zhu Lianqing, et al. Camera calibration with parallel lines[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(10): 1210-1213. (in Chinese)

基于平行直线的摄像机标定方法

基金项目: 国家自然科学基金资助项目(50675015, 50475176);北京市属市管高等学校人才强教计划资助项目(PXM2007_014224_044674)
详细信息
    作者简介:

    马长正(1982 -),男,安徽阜阳人,硕士生, mcz8315@yahoo.cn.

  • 中图分类号: TP 391.4

Camera calibration with parallel lines

  • 摘要: 针对视觉测量中摄像机镜头畸变对精度的影响问题,提出一种基于平行直线求解镜头畸变系数及摄像机标定的方法.考虑到空间直线在理想摄像机模型下的成像仍然是直线的特点,根据畸变对直线的影响,利用径向畸变的数学模型和参数分解的方法对径向畸变系数进行线性求解;仅存在切向畸变的点和理想点到主点距离相等,采用非线性拟合直线确定理想点的方法求解出切向畸变系数.对标靶点进行畸变校正,计算出摄像机内外方位参数.实验结果表明,该方法得到了准确可靠的标定参数.

     

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出版历程
  • 收稿日期:  2008-10-07
  • 网络出版日期:  2009-10-31

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