Skip to main content

Abstract

Two approaches to evaluation of the accuracy of the monoplane camera calibration procedure are discussed. First, the errors affecting the extrinsic and intrinsic parameters of the camera model are experimentally investigated to cover a number of side aspects not fully reported in the literature. The relevance of gain errors, besides random errors, and the criticality of the estimation of distances along the optical axis is pointed out. The precise meaning of the focal length parameter is also discussed. The second approach analyzes the error in the estimated position of a point, as determined by intersecting the pertinent line of sight with a known plane where the point is constrained. Experiments demonstrate state of the art performance.

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.

References

  1. R.Y. Tsai, An efficient and accurate calibration technique for 3D machine vision, Proceedings of IEEE Conference on Computer Vision and Pattern recognition, 1986. pp. 364–374

    Google Scholar 

  2. R.Y. Tsai, A versatile camera calibration technique for high accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses, IEEE J. Robotics Automation, Vol.RA-3, Aug. 1987

    Google Scholar 

  3. R.K. Lenz, R.Y. Tsai, Techniques for calibration of the scale factor and image center for high accuracy 3D machine vision metrology, IEEE Trans. on Patt. Anal. Mach. Intell., Vol. 10, n°5, Sept. 1988, pp. 713–720

    Article  Google Scholar 

  4. Y.C. Shiu, S. Ahmad, Calibration of wrist-mounted robotic sensors by solving homogeneous transform equations of the form AX=XB, IEEE Trans. on Robotics and Automation, Vol. 5, n°1, Feb. 1989

    Google Scholar 

  5. L.L. Wang, W.H. Tsai, Camera calibration by vanishing lines for 3D computer vision, IEEE Trans. on Patt. Anal. Mach. Intell., Vol. 13, n°4, April 1991, pp. 370–376

    Article  Google Scholar 

  6. C.B. Bose, I. Amir, Design of fiducials for accurate registration using machine vision, IEEE Trans. on Patt. Anal. Mach. Intell., Vol. 12, n°12, Dec. 1990, pp. 1196–1200

    Article  Google Scholar 

  7. G. Chiorboli, G.P. Vecchi, Comments on “Design of fiducials for accurate registration using machine vision”, submitted to IEEE Trans. on Patt. Anal. Mach. Intell.

    Google Scholar 

  8. K.S. Fu, R.C. Gonzalez, C.S.G. Lee, Robotics: control, sensing, vision and intelligence, McGraw-Hill

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Copyright information

© 1992 Department of Mechanical Engineering University of Manchester Institute of Science and Technology

About this chapter

Cite this chapter

Chiorboli, G., Morandi, C., Vascotto, M. (1992). Experiments on Monoplane Camera Calibration Accuracy. In: Atkinson, J., Barrow, G., Burdekin, M., Chitkara, N.R., Hannam, R.G. (eds) Proceedings of the Twenty-Ninth International Matador Conference. Palgrave, London. https://doi.org/10.1007/978-1-349-12433-6_46

Download citation

  • DOI: https://doi.org/10.1007/978-1-349-12433-6_46

  • Publisher Name: Palgrave, London

  • Print ISBN: 978-1-349-12435-0

  • Online ISBN: 978-1-349-12433-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics