[1]王年,范益政,梁栋,等.一种基于等腰梯形的摄像机自标定方法[J].东南大学学报(自然科学版),2005,35(2):195-198.[doi:10.3969/j.issn.1001-0505.2005.02.007]
 Wang Nian,Fan Yizheng,Liang Dong,et al.Method of camera self-calibration based on isosceles trapezoid[J].Journal of Southeast University (Natural Science Edition),2005,35(2):195-198.[doi:10.3969/j.issn.1001-0505.2005.02.007]
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一种基于等腰梯形的摄像机自标定方法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
35
期数:
2005年第2期
页码:
195-198
栏目:
计算机科学与工程
出版日期:
2005-03-20

文章信息/Info

Title:
Method of camera self-calibration based on isosceles trapezoid
作者:
王年1 范益政2 梁栋1 韦穗1
1 安徽大学计算智能与信号处理教育部重点实验室, 合肥 230039; 2 安徽大学数学系, 合肥 230039
Author(s):
Wang Nian1 Fan Yizheng2 Liang Dong1 Wei Sui1
1 Education Ministry Key Laboratory of Intelligent Computing and Signal Processing, Anhui University, Hefei 230039, China
2 Department of Mathematics, Anhui University, Hefei 230039, China
关键词:
摄像机标定 等腰梯形 消影点 调和共轭
Keywords:
camera calibration isosceles trapezoid vanishing point harmonic conjugate
分类号:
TP391
DOI:
10.3969/j.issn.1001-0505.2005.02.007
摘要:
给出一种基于等腰梯形的摄像机自标定方法.给定k(k≥6)幅包含等腰梯形的图像,分别检测梯形的4条边,计算梯形平行边方向上的消影点和4个角点.根据射影几何中的调和共轭理论,确定梯形2条平行边的中点.利用正交方向上的消影点对绝对二次曲线C的约束,建立(k-1)个关于C的方程,对解C进行Cholesky 分解,从而获得摄像机内参数.实验结果表明,所提方法具有较高的定标精度.该方法不涉及图像匹配,无需等腰梯形的大小和位置等几何信息,原理简单.
Abstract:
To develop this method k(k≥6) images containing isosceles trapezoids are given. The four edges of each isosceles trapezoid are detected and the vanishing point of the direction of parallel edges and four corner points are worked out. By the theory of harmonic conjugate in projective geometry, midpoints of two parallel edges are determined. Using the constraints of vanishing points on orthogonal directions to absolute conic C,(k-1) equations on C can be established. Applying Cholesky decomposition to the solution C, the camera intrinsic parameters can be obtained then. Experimental results show that the proposed method has a quite high accuracy of calibration. Image correspondence is not involved in this approach, and the geometric information of isosceles trapezoids such as size and position etc. are not needed. There it is of simple principle.

参考文献/References:

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[4] Tsai R Y.A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses[J].IEEE Journal of Robotics and Automation,1987,3(4):323-344.
[5] Zhang Z.Camera calibration with one-dimensional objects[A].In:Heyden A,Sparr G,Nielsen M,eds.Proceedings of 7th European Conference on Computer Vision LNCS 2353[C].Copenhagen:Springer,2002.161-174.
[6] 吴福朝,王光辉,胡占义.由矩形确定摄像机内参数与位置的线性方法[J].软件学报,2003,14(3):703-712.
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相似文献/References:

[1]张捷,李新德,戴先中.基于立体靶标的摄像机标定方法[J].东南大学学报(自然科学版),2011,41(3):543.[doi:10.3969/j.issn.1001-0505.2011.03.022]
 Zhang Jie,Li Xinde,Dai Xianzhong.Camera calibration method based on 3D board[J].Journal of Southeast University (Natural Science Edition),2011,41(2):543.[doi:10.3969/j.issn.1001-0505.2011.03.022]

备注/Memo

备注/Memo:
基金项目: 安徽省自然科学基金资助项目(01042206).
作者简介: 王年(1966—),男,博士生,副教授, wn_xlb@ahu.edu.cn; 韦穗(联系人),女,教授,博士生导师.
更新日期/Last Update: 2005-03-20