• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊
论文

一种简单快速的相机标定新方法

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  • (1.厦门大学智能多媒体技术实验室智能科学系,福建 厦门 361005;
    2.厦门大学计算机科学系,福建 厦门 361005;
    3.厦门大学福建省仿脑系统重点实验室,福建 厦门 361005)
刘碧霞(1986),女,福建福清人,硕士,博士生,研究方向为人工智能、计算机视觉。李绍滋(1963),男,湖南常德人,博士,教授,CCF会员(E200009292S),研究方向为人工智能与自然语言处理、视觉感知与多媒体信息检索等。郭锋(1979),男,福建福州人,硕士,研究方向为人工智能、信息检索、计算机视觉。苏松志(1982),男,福建泉州人,博士生,研究方向为行人检测。

收稿日期: 2010-06-17

  修回日期: 2010-09-14

  网络出版日期: 2011-01-25

基金资助

国家自然科学基金资助项目(60873179);深圳市科技计划基础研究项目(JC200903180630A)

A New Easy Fast Camera SelfCalibration Technique

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  • (1.Intelligent Multimedia Technology Laboratory,Department of Cognitive Science,Xiamen University,Xiamen  361005;
    2.Department of Computer Science,School of Information Science and Technology,Xiamen University,Xiamen 361005;
    3.Fujian Key Laboratory of the BrainLike Intelligent System,Xiamen University,Xiamen 361005,China)

Received date: 2010-06-17

  Revised date: 2010-09-14

  Online published: 2011-01-25

摘要

本文提出了一种新的相机自标定方法,该方法要求摄像机在3个(或3个以上)不同方位摄取一个包含其内接正三角形的圆的新型标定模板的图像。首先,从模板图像中推导得到圆环点的像点坐标;然后通过得到的圆环点像点坐标,可线性求解摄像机内参数。与传统方法不同的是,该方法避免了复杂的椭圆拟合和直线拟合,降低了计算复杂度,提高了标定速度和精度,对噪声更加鲁棒。此外,该方法中的标定过程不需要模板的任何物理度量,也不要建立模板及其图像上点的对应,标定过程简单易于操作。基于模拟和真实图像的实验验证了该方法的有效性和鲁棒性。

本文引用格式

刘碧霞1,2,李绍滋1,3,郭锋1,3,苏松志1,3 . 一种简单快速的相机标定新方法[J]. 计算机工程与科学, 2011 , 33(1) : 88 -93 . DOI: 10.3969/j.issn.1007130X.2011.

Abstract

In this paper, we present a new camera calibration approach by taking three images at least of the proposed planar pattern which includes an arbitrary circle with its inscribed regular triangle under different orientations. First, the imaged circular points are derived from the images of the proposed planar pattern. And then, the camera intrinsic matrix and extrinsic matrix are determined via the obtained imaged circular points. In contrast to the conventional methods, our method avoids ellipse and line fittings. It reduces the computing complexity and it is more robust to noise. Another advantage of our method is that neither any metric measurement on the model plane, nor the point correspondences is necessary; hence the calibration process becomes extremely simple. Experiments on both synthetic data and real image data demonstrate the robustness and effectiveness of our method.

参考文献

[1]Hartley R. An Algorithm for SelfCalibration from Several Views [C]∥Proc of  IEEE Conf on Computer Vision and Pattern Recognition, 1994:908912.
[2]Maybank S J,Faugeras O D. A Theory of SelfCalibration of a Moving Camera [J]. International Journal of Computer Vision, 1992, 8(2):123151.
[3]Pollefeys M,Koch R,van Gool I. Selfcalibration and Metric Reconstruction in Spite of Varing and Unknown Internal Camera Parameters [J]. International Journal of Computer Vision, 1999, 32(1):725.
[4]Zhang Z. A Flexible New Technique for Camera Calibration [J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2000, 22(11):13301334.
[5]Meng  X,Hu  Z. A New Easy Camera Calibration Technique Based on Circular Points [J]. Pattern Recognition, 2003, 36(5):11551164.
[6]孟晓桥, 胡占义. 一种新的基于圆环点的摄像机自标定方法 [J]. 软件学报, 2002, 13(5):957965.
[7]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.
[8]Li M X,Lavest J M. Some Aspects of Zoom Lens Camera Calibration [J]. Trans  on PAMI, 1996,18(11):11051110.
[9]Chen Q,Wu H,Wada T. Camera Calibration with Two Arbitrary Coplanar Circles [C]∥Proc of  ECCV’04,2004:521532.
[10]Gurdjos P,Stum P,Wu Y H.Euclidean Structure from N≥2 Parallel Circles: Theory and Algorithm [C]∥Proc of  ECCV’06,2006:238252.
[11]Agrawal M,Davis L S.Camera Calibration Using Spheres: a SemiFinite Programming Approach [C]∥Proc of CVPR’03,2003:782789.
[12]Ying X,Zha H. Geometric Interpretations of the Relation between the Image of the Absolute Conic and Sphere Images [J].IEEE Trans  on PAMI, 2006,28(12):20312036.
[13]Hartley R,Zisserman A. Multiple View Geometry in Computer Vision[M].2nd  Edition. Cambridge University Press, 2003.
[14]Golub G,Van Loan G. Matrix Computation [M].3rd Edition.Balimore:The John Hopkins University Press,1996.
[15]Semple J G,Kneebone G T. Algebraic Projective Geometry [M]. Oxford:Clarendon Press, 1952.

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