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Automated Center of Radial Distortion Estimation, Using Active Targets

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Computer Vision – ACCV 2009 (ACCV 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5995))

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Abstract

In this paper an automated center of radial distortion estimation algorithm is explained. The method applied to the development of an autonomous camera calibration algorithm. The idea of active targets, which are controlled by calibration algorithm is the key to the autonomy in this work.

The proposed method decouples the center of radial distortion from other calibration parameters. It is shown that the proposed method approximates the center of radial distortion correctly. Also it helps to the accuracy of calibration framework.

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References

  1. Wang, J., Shi, F., Zhang, J., Liu, Y.: A new calibration model of camera lens distortion. Pattern Recognition 41(2), 607–615 (2008)

    Article  MATH  Google Scholar 

  2. Tsai, R.Y.: 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), 323–344 (1987)

    Article  Google Scholar 

  3. Weng, J., Cohen, P., Herniou, M.: Camera calibration with distortion models and accuracy evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence 14(10), 965–980 (1992)

    Article  Google Scholar 

  4. Heikkila, J., Silven, O.: A four-step camera calibration procedure with implicit image correction. In: Conference on Computer Vision and Pattern Recognition, CVPR 1997 (1997)

    Google Scholar 

  5. Claus, D., Fitzgibbon, A.: A rational function lens distortion model for general cameras. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 213–219 (2005)

    Google Scholar 

  6. Devernay, F., Faugeras, O.: Straight lines have to be straight: automatic calibration and removal of distortion from scenes of structured environments. Machine Vision and Applications 13(1), 14–24 (2001)

    Article  Google Scholar 

  7. Fitzgibbon, A.W.: Simultaneous linear estimation of multiple view geometry and lens distortion. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. I-25–I-32 (2001)

    Google Scholar 

  8. Hartley, R., Saxena, T.: The cubic rational polynomial camera model. In: ARPA Image Understanding Workshop, pp. 649–653 (1997)

    Google Scholar 

  9. Li, H.: Hartley, R.: A non-iterative method for lens distortion correction from point matches. In: OmniVis 2005 (workshop in conjunction with ICCV 2005), Beijing (2005)

    Google Scholar 

  10. Stein, G.P.: Internal camera calibration using rotation and geometric shapes. Technical report (1993)

    Google Scholar 

  11. Willson, R.C., Shafer, S.A.: What is the center of the image? In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 1993), pp. 670–671 (1993)

    Google Scholar 

  12. Tardif, J.P., Sturm, P., Trudeau, M., Roy, S.: Calibration of cameras with radially symmetric distortion. IEEE Transactions on Pattern Analysis and Machine Intelligence 31(9), 1552–1566 (2009)

    Article  Google Scholar 

  13. Hartley, R., Kang, S.: Parameter-free radial distortion correction with centre of distortion estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(8), 1309–1321 (2007)

    Article  Google Scholar 

  14. Basu, A., Ravi, K.: Active camera calibration using pan, tilt and roll. IEEE Transactions on Systems, Man and Cybernetics, Part B 27(3), 559–566 (1997)

    Article  Google Scholar 

  15. Konstantinos, D., Jorg, E.: Active intrinsic calibration using vanishing points. Pattern Recognition Letters 17(11), 1179–1189 (1996)

    Article  Google Scholar 

  16. McLauchlan, P.F., Murray, D.W.: Active camera calibration for a head-eye platformusing the variable state-dimension filter. IEEE Transactions on Pattern Analysis and Machine Intelligence 18(1), 15–22 (1996)

    Article  Google Scholar 

  17. Zhang, Z.: A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(11), 1130–1134 (2000)

    Article  Google Scholar 

  18. Heikkila, J.: Geometric camera calibration using circular control points. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(10), 1066–1077 (2000)

    Article  MathSciNet  Google Scholar 

  19. Hartley, R., Zisserman, A.: Multiple view geometry in computer vision, vol. 2. Cambridge University Press, Cambridge (2003)

    Google Scholar 

  20. Rezazadegan Tavakoli, H.: Automatic camera calibration mechanism. Master’s thesis, Islamic Azad University of Mashhad, Iran (September 2008)

    Google Scholar 

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Tavakoli, H.R., Pourreza, H.R. (2010). Automated Center of Radial Distortion Estimation, Using Active Targets. In: Zha, H., Taniguchi, Ri., Maybank, S. (eds) Computer Vision – ACCV 2009. ACCV 2009. Lecture Notes in Computer Science, vol 5995. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12304-7_31

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  • DOI: https://doi.org/10.1007/978-3-642-12304-7_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12303-0

  • Online ISBN: 978-3-642-12304-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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