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European Conference on Artificial Life

ECAL 1999: Advances in Artificial Life pp 266–270Cite as

Evolving Visual Feature Detectors

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1674))

Abstract

This paper describes the generation and selection of visual feature detectors. The feature detectors are randomly generated, and are built out of components, some having functionality inspired on observations of animal visual pathways. The input for the feature detectors consists of non-synthetic images, while the selectionist pressure comes from the amount of information the feature detectors generate. The experimental setup is described and some results are given.

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References

  1. T. Belpaeme. Evolution of visual feature detectors. In S. Cagnoni and P. Nordin, editors, Proceedings of EvoIASP99, Late breaking papers, 1999.

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Author information

Authors and Affiliations

  1. Artificial Intelligence Laboratory, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium

    Tony Belpaeme

Authors
  1. Tony Belpaeme
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Editor information

Editors and Affiliations

  1. Laboratory of Microprocessors and Interfaces (LAMI) Department of Computer Science, Swiss Federal Institute of Technology (EPFL), CH-1015, Lausanne, Switzerland

    Dario Floreano , Jean-Daniel Nicoud  & Francesco Mondada ,  & 

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© 1999 Springer-Verlag Berlin Heidelberg

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Cite this paper

Belpaeme, T. (1999). Evolving Visual Feature Detectors. In: Floreano, D., Nicoud, JD., Mondada, F. (eds) Advances in Artificial Life. ECAL 1999. Lecture Notes in Computer Science(), vol 1674. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48304-7_34

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  • DOI: https://doi.org/10.1007/3-540-48304-7_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66452-9

  • Online ISBN: 978-3-540-48304-5

  • eBook Packages: Springer Book Archive

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