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Camera Calibration Using Rectangular Textures

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Robot Vision (RobVis 2001)

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

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Abstract

This paper describes a practical method for the camera calibration given a single image of a regular texture. This paper uses the calibration of images of skyscrapers as an example. The paper introduces two algorithms for the assignment of real world coordinates to feature points. The first algorithm selects five closely connected feature points and determines the orientation of the rectangular pattern. The second algorithm iteratively sorts the feature points and assigns real world coordinates to them. Lastly, the Tsai camera calibration algorithm is used to compute the camera parameters.

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References

  1. J. Baltes: Practical camera and color calibration for large scale rooms. In: Proceed. of the IJCAI Workshop on RoboCup, Stockholm, Sweden, (July 1999). 245

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  5. R. Y. Tsai: An efficient and accurate camera calibration technique for 3d machine vision. In: Proceed. of IEEE Conf. on Computer Vision and Pattern Recognition, Miami Beach, FL, (1986) 364–374. 246

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Author information

Authors and Affiliations

  1. Center for Imaging Technology and Robotics, University of Auckland, Auckland, New Zealand

    Jacky Baltes

Authors
  1. Jacky Baltes
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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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Baltes, J. (2001). Camera Calibration Using Rectangular Textures. 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_30

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  • DOI: https://doi.org/10.1007/3-540-44690-7_30

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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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