Learning high-level visual concepts using attributed primitives and genetic programming

  • Authors:
  • Krzysztof Krawiec

  • Affiliations:
  • Institute of Computing Science, Poznań University of Technology, Poznań, Poland

  • Venue:
  • EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
  • Year:
  • 2006

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Abstract

In this paper, we present a novel approach to genetic learning of high-level visual concepts that works with sets of attributed visual primitives rather than with raster images. The paper presents the approach in detail and verifies it in an experiment concerning locating objects in real-world 3D scenes.