Skip to main content

Auto-calibration in automation systems using vision

  • Section 3 Visual Servoing
  • Conference paper
  • First Online:
Experimental Robotics III

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 200))

Abstract

This paper discusses aspects of automatic camera calibration in automation systems. Three different scenarios are analysed: an AGV-system, a warehouse automation system, and a robot system. The properties of two methods for automatic camera calibration using multi-view 2-D calibration planes are investigated. It is found that the achievable calibration accuracy is comparable to methods using 3-D calibration objects.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

6. References

  • Andersen, N. A., Ravn, O., and Sørensen, A. T. (1991). Real-time vision based control of servomechanical systems. In Proceedings of the Second International Symposium on Experimental Robotics.

    Google Scholar 

  • Crowley, J. L., Bobet, P., and Schmidt, C. (1993). Dynamic calibration of an active stereo head. In 4th ICCV, pages 734–741.

    Google Scholar 

  • Faugeras, O. D., Luong, Q.-T., and Maybank, S. J. (1992). Camera self-calibration: Theory and experiments. In Sandini, G., editor, Proceedings of the Second European Conference on Computer Vision, pages 321–334. Springer-Verlag.

    Google Scholar 

  • Ganapathy, S. (1984) Decomposition of transformation matrices for robot vision. Pattern Recognition Letters, 2(6):401–412.

    Article  Google Scholar 

  • Haralick, R. M. (1989). Determining camera parameters from the perspective projection of a rectangle. Pattern Recognition, 22(3):225–230.

    Article  Google Scholar 

  • Harris, C. G. and Teeder, A. (1993). Geometric camera calibration for vision-based navigation. In Charnely, D., editor, 1st IFAC International Workshop on Intelligent Autonomous Vehicles, pages 77–82.

    Google Scholar 

  • Lenz, R. K. and Tsai, R. Y. (1988). Techniques for calibration of the scale factor and image center for high accuracy 3-D machine vision metrology. IEEE Transactions on Pattern Analysis and Machine Intelligence, 10(5).

    Google Scholar 

  • Schalkoff, R. J. (1989). Digital Image Processing and Computer Vision. John Wiley & Sons, Inc.

    Google Scholar 

  • Tsai, R. Y. (1987). A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses. IEEE Journal of Robotics and Automation, RA-3(4).

    Google Scholar 

  • Weng, J., Cohen, P., and Herniou, M. (1992). Camera calibration with distortion models and accuracy evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(10).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Tsuneo Yoshikawa (PhD)Fumio Miyazaki (PhD)

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Springer-Verlag London Limited

About this paper

Cite this paper

Ravn, O., Andersen, N.A., Sørensen, A.T. (1994). Auto-calibration in automation systems using vision. In: Yoshikawa, T., Miyazaki, F. (eds) Experimental Robotics III. Lecture Notes in Control and Information Sciences, vol 200. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0027596

Download citation

  • DOI: https://doi.org/10.1007/BFb0027596

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-19905-2

  • Online ISBN: 978-3-540-39355-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics