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Plug and Play: Fast Automatic Geometry and Color Calibration for Cameras Tracking Robots

  • Anna Egorova
  • Mark Simon
  • Fabian Wiesel
  • Alexander Gloye
  • Raúl Rojas
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3276)

Abstract

We have developed an automatic calibration method for a global camera system. Firstly, we show how to define automatically the color maps we use for tracking the robots’ markers. The color maps store the parameters of each important color in a grid superimposed virtually on the field. Secondly, we show that the geometric distortion of the camera can be computed automatically by finding white lines on the field. The necessary geometric correction is adapted iteratively until the white lines in the image fit the white lines in the model. Our method simplifies and speeds up significantly the whole setup process at RoboCup competitions. We will use these techniques in RoboCup 2004.

Keywords

Geometric Distortion Soft Shadow Geometric Calibration Color Calibration Important Color 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Anna Egorova
    • 1
  • Mark Simon
    • 1
  • Fabian Wiesel
    • 1
  • Alexander Gloye
    • 1
  • Raúl Rojas
    • 1
  1. 1.Freie Universität BerlinBerlinGermany

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