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Camera Calibration Using Rectangular Textures

  • Jacky Baltes
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1998)

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.

Keywords

Feature Point Camera Calibration Seed Point Camera Parameter Camera Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    R. Haralick: Determining camera parameters from the perspective projection of a rectangle. Pattern Recognition, 22 (1989). 246Google Scholar
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    H. Kitano (Ed.): RoboCup-97: Robot Soccer World Cup I. Springer Verlag, (1998). 245Google Scholar
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    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. 246Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Jacky Baltes
    • 1
  1. 1.Center for Imaging Technology and RoboticsUniversity of AucklandAucklandNew Zealand

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