Self Calibration of the Fixation Movement of a Stereo Camera Head

  • Authors:
  • Mike Pagel;Eric Maël;Christoph von der Malsburg

  • Affiliations:
  • Institut für Neuroinformatik, Ruhr-Universität Bochum, Germany;Institut für Neuroinformatik, Ruhr-Universität Bochum, Germany;Institut für Neuroinformatik, Ruhr-Universität Bochum, Germany

  • Venue:
  • Autonomous Robots
  • Year:
  • 1998

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Abstract

In this article we show how an active stereo camera head canbe made to autonomously learn to fixate objects in space. Duringfixation, the system performs an initial and a correction saccade. Inthe learning phase the correction saccade is controlled by a crudeprewired algorithm, in analogy to a mechanism surmised toexist in the brainstem. A vector-based neural network serves as theadaptive component in our system. A self-organizing fovea improvesdramatically the convergence of the learning algorithm and theaccuracy of the fixation. As a possible application we describe thevisuo-motor coordination of the camera head with an anthropomorphicrobot arm.