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Improved Calibration Algorithm

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Advances in Image and Graphics Technologies (IGTA 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 363))

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Abstract

In this paper, we use a piece of A4 paper as the modal plane, which not only reduces the requirement of the modal plane and makes the calibration very convenient, but also solves the point matching problem. Extended experiments have proved that this camera calibration method is available and effective.

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References

  1. Zhang, Z.Y.: Flexible camera calibration by viewing a plane from unknown orientations. In: Proceedings of the 7th International Conference on Computer Vision, pp. 666–673 (1999)

    Google Scholar 

  2. Zhang, Z.Y.: A Flexible New Technique for Camera Calibration. Technical Report MSR-TR-98- 71, Microsoft Research (December 1998)

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  3. Zhang, Z.Y.: Camera Calibration With One-Dimensional Objects. Technical Report MSR-TR- 2001-120, Microsoft Research (August 2002)

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  4. Pollefeys, M., Koch, R., Van Gool, L.: Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters. The International Journal of Computer Vision, 90–95 (1998)

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  5. Pollefeys, M., Van Gool, L., Proesmans, M.: Euclidean 3D Reconstruction from Image Sequences with Variable Focal Lengths[R]. In: Buxton, B.F., Cipolla, R. (eds.) ECCV 1996. LNCS, vol. 1064, pp. 31–42. Springer, Heidelberg (1996)

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  6. Heyden, A., Astrom, K.: Euclidean Reconstruction from Constant Intrinsic Parameters. In: Proc.13th International Conference on Pattern Recognition, pp. 339–343. IEEE Computer Society Press (1996)

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© 2013 Springer-Verlag Berlin Heidelberg

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Renjie, X., Ming, Y., Wudongya, Yunhan, S. (2013). Improved Calibration Algorithm. In: Tan, T., Ruan, Q., Chen, X., Ma, H., Wang, L. (eds) Advances in Image and Graphics Technologies. IGTA 2013. Communications in Computer and Information Science, vol 363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37149-3_34

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  • DOI: https://doi.org/10.1007/978-3-642-37149-3_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37148-6

  • Online ISBN: 978-3-642-37149-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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