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Catadioptric Camera Calibration by Polarization Imaging

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Pattern Recognition and Image Analysis (IbPRIA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4478))

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Abstract

A new efficient method of calibration for catadioptric sensors is presented in this paper. It is based on an accurate measurement of the three-dimensional parameters of the mirror by means of polarization imaging. While inserting a rotating polarizer between the camera and the mirror, the system is automatically calibrated without any calibration patterns. Moreover it permits to relax most of the constraints related to the calibration of the catadioptric systems. From the measurement of three-dimensional parameters, we apply the generic calibration concept to calibrate the catadioptric sensor. The influence of the disturbed measurement of the parameters on the reconstruction of a synthetic scene is presented. Finally, experiments prove the validity of the method with some preliminary results on three-dimensional reconstruction.

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References

  1. Baker, S., Nayar, S.K.: A theory of catadioptric image formation. In: International Conference on Computer Vision, pp. 35–42. IEEE Computer Society Press, Washington (1998)

    Google Scholar 

  2. Sturm, P.: Multi-view geometry for general camera models. In: IEEE Computer Vision and Pattern Recognition, vol. 1, pp. 206–212. IEEE Computer Society, Washington (2005)

    Google Scholar 

  3. Ramalingam, S., Lodha, S.K., Sturm, P.: A generic structure-from-motion framework. Computer Vision and Image Understanding 103(3), 218–228 (2006)

    Article  Google Scholar 

  4. Yagi, Y., Kawato, S., Tsuji, S.: Real-time omnidirectional image sensor (copis) for vision-guided navigation. IEEE Trans. Robotics and Automation 10(1), 11–22 (1994)

    Article  Google Scholar 

  5. Kang, S.: Catadioptric self-calibration. In: IEEE Computer Vision and Pattern Recognition, pp. 1201–1207 (2000)

    Google Scholar 

  6. Geyer, C., Daniilidis, K.: Paracatadioptric camera calibration. IEEE Trans. Pattern Analysis and Machine Intelligence 24(5), 687–695 (2002)

    Article  Google Scholar 

  7. Barreto, J.P., Araujo, H.: Paracatadioptric camera calibration using lines. In: International Conference on Computer Vision 02, pp. 1359–1365 (2003)

    Google Scholar 

  8. Vanderportaele, B., Cattoen, M., Marthon, P., Gurdjos, P.: A new linear calibration method for paracatadioptric cameras. In: International Conference on Pattern Recognition, vol. 4, pp. 647–651 (2006)

    Google Scholar 

  9. Grossberg, M.D., Nayar, S.K.: A general imaging model and a method for finding its parameters. In: International Conference on Computer Vision, vol. 2, pp. 108–115 (2001)

    Google Scholar 

  10. Pless, R.: Using many cameras as one. In: IEEE Computer Vision and Pattern Recognition, vol. 2, pp. 587–593 (2003)

    Google Scholar 

  11. Rahmann, S.: Reconstruction of quadrics from two polarization views. In: Perales, F.J., Campilho, A.C., Pérez, N., Sanfeliu, A. (eds.) IbPRIA 2003. LNCS, vol. 2652, pp. 810–820. Springer, Heidelberg (2003)

    Google Scholar 

  12. Miyazaki, D., Kagesawa, M., Ikeuchi, K.: Transparent surface modeling from a pair of polarization images. IEEE Trans. Pattern Analysis and Machine Intelligence 26(1), 73–82 (2004)

    Article  Google Scholar 

  13. Wolff, L.B., Boult, T.E.: Constraining object features using a polarization reflectance model. IEEE Trans. Pattern Analysis and Machine Intelligence 13(7), 635–657 (1991)

    Article  Google Scholar 

  14. Morel, O., Stolz, C., Meriaudeau, F., Gorria, P.: Three-dimensional inspection of highly-reflective metallic objects by polarization imaging. Electronic Imaging Newsletter 15(2), 4 (2005)

    Google Scholar 

  15. Morel, O., Stolz, C., Meriaudeau, F., Gorria, P.: Active lighting applied to 3d reconstruction of specular metallic surfaces by polarization imaging. Applied Optics 45(17), 4062–4068 (2006)

    Article  Google Scholar 

  16. Sturm, P., Ramalingam, S.: A generic concept for camera calibration. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3022, pp. 1–13. Springer, Heidelberg (2004)

    Google Scholar 

  17. Frankot, R., Chellappa, R.: A method for enforcing integrability in shape from shading algorithms. IEEE Trans. Pattern Analysis and Machine Intelligence 10(4), 439–451 (1988)

    Article  MATH  Google Scholar 

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Joan Martí José Miguel Benedí Ana Maria Mendonça Joan Serrat

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© 2007 Springer Berlin Heidelberg

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Morel, O., Seulin, R., Fofi, D. (2007). Catadioptric Camera Calibration by Polarization Imaging. In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72849-8_50

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  • DOI: https://doi.org/10.1007/978-3-540-72849-8_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72848-1

  • Online ISBN: 978-3-540-72849-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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