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The Self-calibration of Varying Internal Camera Parameters Based on Image of Dual Absolute Quadric Transformation

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Information and Automation (ISIA 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 86))

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Abstract

This paper presents an method of self-calibration of varying internal camera parameters that based on image of dual absolute quadric transformation. Absolute dual quadric elements have so large differences in magnitude that solutions are extremely sensitive to noise.Through the transformation, all the elements of the image of dual absolute quadric are transformed into the same magnitude, So the solutions become more stable. The theorical analysis and experiments with both simulated and real data demonstrate that this self-calibration method can lead to an enormous improvement on the stability and robustness of the results without increasing computation.

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References

  1. Meng, X.-q., Hu, Z.-y.: Recent Progress in Camera Self-Calibration. Acta Automatica Sinica 29(1), 110–124 (2003)

    MathSciNet  Google Scholar 

  2. Faugeras, O., Luong, Q.T., Maybank, S.: Camera self2calibration: Theory and experiments. In: Proceedings of the 2nd European Conference on Computer Vision, Italy, pp. 321–334 (1992)

    Google Scholar 

  3. Maybank, S., Faugeras, O.: A theory of self-calibration of a moving camera. International Journal of Computer Vision 8(2), 123–151 (1992)

    Article  Google Scholar 

  4. Hartley, R.: Euclidean reconstruction and invariants from multiple images. IEEE Transactions on Pattern Analysis and Machine Intelligence 16(10), 1036–1041 (1994)

    Article  Google Scholar 

  5. Triggs, B.: Auto2calibration and the absolute quadric. In: Proceedings of Computer Vision and Pattern Recognition, pp. 609–614 (1997)

    Google Scholar 

  6. Pollefeys, M., Van Gool, L., Oosterlinck, A.: The modulus constraint: A new constraint for self2calibration. In: Proceedings of International Conference of Pattern Recognition, Vienna, pp. 349–353 (1996)

    Google Scholar 

  7. Heyden, A.: @str jm K. Euclidean reconstruction from image sequences with varying and unknown focal length and principal point. In: Proceedings of Computer Vision and Pattern Recognition, pp. 438–443 (1997)

    Google Scholar 

  8. Liu, S.-g., Wu, C.-k., Tang, L., Jia, J.: Robust self-calibration method based on image of dual absolute quadric transformation. Systems Engineering and Electronics 27(2), 212–215 (2005)

    Google Scholar 

  9. Li, H., Hu, Z.-y.: A Linear Camera Self-Calibration Technique Based on Projective Reconstruction. Journal of Software 13(12), 2286–2295 (2002)

    Google Scholar 

  10. Hao, Y.-t., Zhou, W., Zhong, B.-t.: Self-calibration technique based on Kruppa equations obtaining initial solution by translational motion. Computer Engineering and Applications 45(22), 38–40 (2009)

    Google Scholar 

  11. Hu, H.-l., Jiang, Z.-t.: Camera self-calibration method based on genetic algorithm. Computer Engineering and Desig. 2009 30(1), 204–206 (2009)

    Google Scholar 

  12. Ha, J.-E., Kang, D.-J.: Initialization method for self-calibration using 2-views. Pattern Recognition, 143–150 (2004)

    Google Scholar 

  13. Bougnoux, S.: From Projective to Euclidean Space under any practical situation, a criticism of self-calibration. In: Proc. ICCV, pp. 790–796 (1998)

    Google Scholar 

  14. Pollefeys, M., Van Gool, L.: Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters. In: Proceedings of the IEEE International Conference on Computer Vision, Bombay, India, pp. 90–95 (1998)

    Google Scholar 

  15. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision (60), 91–110 (2004)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Jiang, Zt., Liu, Sc. (2011). The Self-calibration of Varying Internal Camera Parameters Based on Image of Dual Absolute Quadric Transformation. In: Qi, L. (eds) Information and Automation. ISIA 2010. Communications in Computer and Information Science, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19853-3_66

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  • DOI: https://doi.org/10.1007/978-3-642-19853-3_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19852-6

  • Online ISBN: 978-3-642-19853-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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