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Active Self-calibration of Multi-camera Systems

  • Marcel Brückner
  • Joachim Denzler
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6376)

Abstract

We present a method for actively calibrating a multi-camera system consisting of pan-tilt zoom cameras. After a coarse initial calibration, we determine the probability of each relative pose using a probability distribution based on the camera images. The relative poses are optimized by rotating and zooming each camera pair in a way that significantly simplifies the problem of extracting correct point correspondences. In a final step we use active camera control, the optimized relative poses, and their probabilities to calibrate the complete multi-camera system with a minimal number of relative poses. During this process we estimate the translation scales in a camera triangle using only two of the three relative poses and no point correspondences. Quantitative experiments on real data outline the robustness and accuracy of our approach.

Keywords

Interest Point Camera Calibration Point Correspondence Active Camera Initial Relative 
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 2010

Authors and Affiliations

  • Marcel Brückner
    • 1
  • Joachim Denzler
    • 1
  1. 1.Chair for Computer VisionFriedrich Schiller University of Jena 

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