Expression-Based Evolution of Faces

  • Penousal Machado
  • João Correia
  • Juan Romero
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7247)

Abstract

The combination of a classifier system with an evolutionary image generation engine is explored. The framework is instantiated using an off-the-shelf face detection system and a general purpose, expression-based, genetic programming engine. By default, the classifier returns a binary output, which is inadequate to guide evolution. By retrieving information provided by intermediate results of the classification task, it became possible to develop a suitable fitness function. The experimental results show the ability of the system to evolve images that are classified as faces. A subjective analysis also reveals the unexpected nature and artistic potential of the evolved images.

Keywords

Evolutionary Art Automatic Fitness Assignment Face Detection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Penousal Machado
    • 1
  • João Correia
    • 1
  • Juan Romero
    • 2
  1. 1.CISUC, Department of Informatics EngineeringUniversity of CoimbraCoimbraPortugal
  2. 2.Faculty of Computer ScienceUniversity of A CoruñaCoruñaSpain

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