| 基于灭点理论和平面控制场的相机标定方法研究 |
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| 引用本文： | 杨化超,张书毕,刘 超.基于灭点理论和平面控制场的相机标定方法研究[J].中国图象图形学报,2010,15(8):1168-1174. |
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| 作者姓名： | 杨化超 张书毕 刘 超 |
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| 作者单位： | 中国矿业大学环境与测绘学院，徐州 221008,江苏省资源环境信息工程重点实验室，徐州 221008；中国矿业大学环境与测绘学院，徐州 221008,江苏省资源环境信息工程重点实验室，徐州 221008；中国矿业大学环境与测绘学院，徐州 221008 |
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| 基金项目： | 地理信息工程国家测绘局重点实验室开放基金项目(200818) |
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| 摘 要： | 给出了一种基于灭点理论和平面控制场的相机解析自标定方法。在系统分析平面场景灭点几何的基础上，依据灭点理论并结合2维场景的共线方程严密论证和推导了平面控制场中相机外方位元素初值的实用算法。给出了一种圆形标志点的快速检测及定位方法，提出了一种基于计算可靠性矩阵QVVP的自检校光束法平差中各类观测值权值的确定方法。实验证明了该相机标定方法的正确性和有效性，为相机标定探索了一种可行的方法。
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| 关 键 词： | 相机标定 共线方程 外方位元素 灭点 |
| 收稿时间： | 2008/8/29 0:00:00 |
| 修稿时间： | 2010/1/26 0:00:00 |
Research;into;Camera;Calibration;Methods;Based;on;the;Vanishing;Points;Theory;and;Planar;Control;Fields |
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| YANG Huachao,ZHANG Shubi and LIU Chao.Research;into;Camera;Calibration;Methods;Based;on;the;Vanishing;Points;Theory;and;Planar;Control;Fields[J].Journal of Image and Graphics,2010,15(8):1168-1174. |
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| Authors: | YANG Huachao ZHANG Shubi and LIU Chao |
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| Affiliation: | School of Environment & Spatial Informatics, China University of Mining and Technology, Xuzhou 221008,Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou 221008; School of Environment & Spatial Informatics, China University of Mining and Technology, Xuzhou 221008 and Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou 221008; School of Environment & Spatial Informatics, China University of Mining and Technology, Xuzhou 221008 |
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| Abstract: | A systematic and deep research is carried out into the camera calibration methods based on the vanishing points theory and planar control fields. Then a practical algorithm to obtain the initial values of the exterior orientation elements is deduced by combining the theory of vanishing points and collinearity equations in planar scenes. Detection methods of signalized points based on 2D direct linear transformation was proposed. Mathematical model of bundle block adjustment with self calibration is given and the method of determining the weight of every class of observations based on the calculating the QVVP is proposed. The performance between two camera calibration methods is compared and some valuable conclusions are acquired. It can provide some advices in practical applications. But how to realize the full automatic detection and localization of target points should be improved in the future. |
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| Keywords: | camera calibration collinearity equations exterior orientation elements vanishing points |
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