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Toward Self-calibration of a Stereo Rig from Noisy Stereoscopic Images

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Book cover Robot Vision (RobVis 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1998))

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Abstract

This paper deals with the analysis of uncertainty of epipole localizations in case of noisy stereo images. Initial uncertainty in point locations can be propagated through to an uncertainty in epipole localization, resulting in a region in the image called epipolar zone

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References

  1. H.S.M. Coxeter: Projective Geometry, Springer, New York (1987). 61

    Google Scholar 

  2. G. Csurka, C. Zeller, Z. Zhang, O. Faugeras: Characterizing the uncertainty of the fundamental matrix. Computer Vision and Image Understanding 68 (1997) 18–35. 60

    Article  Google Scholar 

  3. R. Deriche, Z. Zhang, Q. T. Luong, O. D. Faugeras: Robust recovery of the epipolar geometry for an uncalibrated stereo rig. In: Proceed. ECCV’94 Stockholm (1994). 60

    Google Scholar 

  4. R. Deriche, R. Vaillant, O. D. Faugeras: From noisy edge points to 3D reconstruction of scenes:a robust approachand its uncertainty analysis. In: Proceed. 7th Scandinavian Conf. on Image Analysis Alborg, Denmark, (August 1991) 225–232. 63

    Google Scholar 

  5. R. Deriche, J.P. Cocquerez: Extraction de composants connexes basé sur une détection optimale des contours. In:CESTA Paris (1987).

    Google Scholar 

  6. O. D. Faugeras: What can be seen in three dimensions with a uncalibrated stereo rig. In: Proceed. ECCV’92 Santa Margherita Ligure,taly, (1992).

    Google Scholar 

  7. O. D. Faugeras, Q. T. Luong, S. J. Maybank: Camera self-calibration:theory and experiments. In: Proceed. ECCV’92 Santa Margherita Ligure, Italy, (1992). 60

    Google Scholar 

  8. W. E. L. Grimson, D. P. Huttenlocher, D. W. Jacobs: A study of affine matching withbounded sensor error. In: Proceed. ECCV’92 Santa Margherita Ligure, taly, (1992). 64

    Google Scholar 

  9. S. J. Maybank, O. D. Faugeras: A theory of self calibration of a moving camera. Internat. J. of Computer Vision 8 (1992) 123–151. 60

    Article  Google Scholar 

  10. R. Mohr, B. Triggs: Projective geometry for image analysis. Tutorial given at ISPRS, Vienna,(July 1996). 61

    Google Scholar 

  11. R. Mohr, E. Arbogast: It can be done without camera calibration. Pattern Recog-nition Letters 12 (1991) 39–43. 60, 61

    Article  Google Scholar 

  12. P. R. S. Mendonca, R. Cipolla: Estimation of epipolar geometry from apparent contours: affine and circular motion cases. In: Proceed. CVPR’ 99 (1999). 60

    Google Scholar 

  13. P. Remagnino, P. Brand, R. Mohr: Correlation techniques in adaptive template matching with uncalibrated cameras. In: SPIE Proceed. Vision Geometry III Boston Mass., (November 1994) 252–263. 61

    Google Scholar 

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Author information

Authors and Affiliations

  1. Computer Science nstitute of U.S.T.H.B University, BP 32, El Alia, Algiers, Algeria

    Slimane Larabi

Authors
  1. Slimane Larabi
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Editor information

Editors and Affiliations

  1. Center for Image Technology and Robotics (CITR Tamaki), The University of Auckland, Tamaki Campus, Building 731, 1005, Auckland, New Zealand

    Reinhard Klette

  2. Department of Computer Science, The Hebrew University of Jerusalem, Givat Ram, Ross Building, 91904, Jerusalem, Israel

    Shmuel Peleg

  3. Institut für Informatik, Universitäet Kiel, Preusserstr.1-9, 24105, Kiel, Germany

    Gerald Sommer

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© 2001 Springer-Verlag Berlin Heidelberg

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Larabi, S. (2001). Toward Self-calibration of a Stereo Rig from Noisy Stereoscopic Images. In: Klette, R., Peleg, S., Sommer, G. (eds) Robot Vision. RobVis 2001. Lecture Notes in Computer Science, vol 1998. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44690-7_8

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  • DOI: https://doi.org/10.1007/3-540-44690-7_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41694-4

  • Online ISBN: 978-3-540-44690-3

  • eBook Packages: Springer Book Archive

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