Skip to main content
Book cover

Workshops on Applications of Evolutionary Computation

EvoWorkshops 2008: Applications of Evolutionary Computing pp 453–462Cite as

Evolutionary Pointillist Modules: Evolving Assemblages of 3D Objects

  • Conference paper

  • 1797 Accesses

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 4974)

Abstract

A novel evolutionary system for the creation of assemblages of three dimensional (3D) objects is presented. The proposed approach allows the evolution of the type, size, rotation and position of 3D objects that are placed on a virtual canvas, constructing a non-photorealistic transformation of a source image. The approach is thoroughly described, giving particular emphasis to genotype–phenotype mapping, and to the alternative object placement strategies. The experimental results presented highlight the differences between placement strategies, and show the potential of the approach for the production of large-scale artworks.

Keywords

  • Evolutionary Art
  • Evolutionary Image Filters
  • Non- Photorealistic Rendering
  • Assemblage

This is a preview of subscription content, access via your institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-540-78761-7_48
  • Chapter length: 10 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   129.00
Price excludes VAT (USA)
  • ISBN: 978-3-540-78761-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   169.00
Price excludes VAT (USA)
Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ross, B.J., Ralph, W., Hai, Z.: Evolutionary image synthesis using a model of aesthetics. In: Yen, G.G., Lucas, S.M., Fogel, G., Kendall, G., Salomon, R., Zhang, B.T., Coello, C.A.C., Runarsson, T.P. (eds.) Proceedings of the 2006 IEEE Congress on Evolutionary Computation, Vancouver, BC, Canada, pp. 1087–1094. IEEE Press, Los Alamitos (2006)

    CrossRef  Google Scholar 

  2. Neufeld, C., Ross, B., Ralph, W.: The evolution of artistic filters. In: Romero, J., Machado, P. (eds.) The Art of Artificial Evolution, Springer, Heidelberg (2007) (in Press)

    Google Scholar 

  3. Koza, J.R.: Genetic Programming: On the Programming of Computers by Natural Selection. MIT Press, Cambridge (1992)

    MATH  Google Scholar 

  4. Lewis, M.: Aesthetic video filter evolution in an interactive real-time framework. In: Raidl, G.R., Cagnoni, S., Branke, J., Corne, D.W., Drechsler, R., Jin, Y., Johnson, C.G., Machado, P., Marchiori, E., Rothlauf, F., Smith, G.D., Squillero, G. (eds.) EvoWorkshops 2004. LNCS, vol. 3005, pp. 409–418. Springer, Heidelberg (2004)

    Google Scholar 

  5. Machado, P., Dias, A., Cardoso, A.: Learning to colour greyscale images. The Interdisciplinary Journal of Artificial Intelligence and the Simulation of Behaviour – AISB Journal 1, 209–219 (2002)

    Google Scholar 

  6. Yip, C.: Evolving Image Filters. Master’s thesis, Imperial College of Science, Technology, and Medicine (2004)

    Google Scholar 

  7. Collomosse, J.P., Hall, P.M.: Genetic paint: A search for salient paintings. In: Applications of Evolutionary Computing, EvoWorkshops 2005, Lausanne, Switzerland, pp. 437–447 (2005)

    Google Scholar 

  8. Collomosse, J.P.: Supervised genetic search for parameter selection in painterly rendering. In: Applications of Evolutionary Computing, EvoWorkshops 2006, Budapest, Hungary, pp. 599–610 (2006)

    Google Scholar 

  9. Sims, K.: Artificial evolution for computer graphics. ACM Computer Graphics 25, 319–328 (1991)

    CrossRef  Google Scholar 

  10. Tannenbaum, T., Wright, D., Miller, K., Livny, M.: Condor – a distributed job scheduler. In: Sterling, T. (ed.) Beowulf Cluster Computing with Linux, MIT Press, Cambridge (2001)

    Google Scholar 

  11. Velho, L., de Miranda Gomes, J.: Digital halftoning with space filling curves. SIGGRAPH Comput. Graph. 25, 81–90 (1991)

    CrossRef  Google Scholar 

  12. Shiraishi, M., Yamaguchi, Y.: An algorithm for automatic painterly rendering based on local source image approximation. In: NPAR 2000: Proceedings of the 1st international symposium on Non-photorealistic animation and rendering, pp. 53–58. ACM, New York (2000)

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. CISUC, Department of Informatics Engineering, University of Coimbra, Polo II of the University of Coimbra, 3030, Coimbra, Portugal

    Penousal Machado & Fernando Graca

Authors
  1. Penousal Machado
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fernando Graca
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

    Rights and permissions

    Reprints and Permissions

    Copyright information

    © 2008 Springer-Verlag Berlin Heidelberg

    About this paper

    Cite this paper

    Machado, P., Graca, F. (2008). Evolutionary Pointillist Modules: Evolving Assemblages of 3D Objects. In: , et al. Applications of Evolutionary Computing. EvoWorkshops 2008. Lecture Notes in Computer Science, vol 4974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78761-7_48

    Download citation

    • DOI: https://doi.org/10.1007/978-3-540-78761-7_48

    • Publisher Name: Springer, Berlin, Heidelberg

    • Print ISBN: 978-3-540-78760-0

    • Online ISBN: 978-3-540-78761-7

    • eBook Packages: Computer ScienceComputer Science (R0)