Camera calibration based on 3D-point-grid

  • X. -F. Zhang
  • A. Luo
  • W. Tao
  • H. Burkhardt
Poster Session B: Active Vision, Motion, Shape, Stereo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1310)


In this paper an effective technique of camera calibration based on a 3D-point-grid is presented. The properties of structured space points, defined as 3D-point-grid, and their relations under perspective transformation are analyzed. Upon the correspondence between these 3D-points and their image points a calibration is made not only to compute the parameters of camera model by a linear method simply from the independent points in 3D-point-grid but also to verify, modify and regulate extrinsic parameters of the orientation and position simultaneously from the structure constraint implied in these points. On the basis of the verification, modification and regulation the intrinsic parameters of camera can be computed with more objective criteria. Experimental results show the necessity and advantage of the verification and modification of the orientation and position parameters, and prove that our calibration technique can improve the accuracy of both extrinsic and intrinsic parameters greatly.


Parallel Plane Camera Calibration Intrinsic Parameter Perpendicular Plane Extrinsic Parameter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. [Tsai86]
    [Tsai86] R. Y. Tsai, An Efficient and Accurate Camera Calibration Technique for 31) Machine Vision, Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition, Miami Beach,FL, 1986, pp 364–374Google Scholar
  2. [LT88]
    R. K. Lenz and R. Y. Tsai, Techniques for Calibration of the Scale Factor and Image Center for high Accuracy 3D Machine Metrology, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 10, May 1988, pp 713–720Google Scholar
  3. [BM91]
    E.Bruzzone and F.Magli, Calibration of a CCD Camera on a Hybrid Coordinate Measuring Machine for Industrial Meterology, SPIE, Vol. 1526, Industrial Vision Metrology (1991), pp96–112Google Scholar
  4. [LC93]
    Jim Z. C. Lai, M. Chao, et al., The Effects of a Camera's Intrinsic Parameters on the Determination of a Coordinate Frame, Journal of the Chinese Institute of Engineerings, Band 16 (1993), Vol. 5, pp621–630.Google Scholar
  5. [WM94]
    G.-Q. Wei and S.-D. Ma, Implicit and Explicit Camera Calibration, Theory and Experiments, IEEE, PAMI, Vol. 16, No. 5, May 1994, pp 469–488Google Scholar
  6. [Faug93]
    O.Faugeras, Three-Dimensional Computer Vision-A Geometric Viewpoint, MIT Press, 1993Google Scholar
  7. [Zhang96]
    X.-F. Zhang, Untersuchung, Implementierung and Verbesserung der Kamerakalibrierung, Technical Report, TI-1, TUHH, Nov. 1996Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • X. -F. Zhang
    • 1
  • A. Luo
    • 2
  • W. Tao
    • 1
  • H. Burkhardt
    • 3
  1. 1.Tech. Informatik IHamburg-Harburg University of TechnologyHamburg
  2. 2.Mikroelektronik Anwendungszentrum (MAZ) Hamburg GmbHHamburg
  3. 3.Institut für InformatikUniversity of FreiburgFreiburgGermany

Personalised recommendations