Evolving Assemblages of 3D Objects

Aus de_evolutionary_art_org
Wechseln zu: Navigation, Suche


Fernando Graca and Penousal Machado: Evolving Assemblages of 3D Objects. In: New Creativity, The 11th Biennial Symposium on Arts and Technology, New London, USA, 2008.



A novel approach to the creation of assemblages of three-dimensional (3D) digital objects is presented and explored. The proposed evolutionary art approach allows the evolution of the distribution of 3D objects, which are placed on a virtual canvas, constructing a non-photorealistic transformation of a source image. The approach is thoroughly described, giving particular emphasis to the interaction between the artist and the tool, and to influence of the decision making process in the final outcome. The experimental results presented highlight the differences between several styles of images, evolved in accordance to different artistic purposes, showing the potential of the approach for the production of large-scale artworks.

Extended Abstract


Used References

[1] Machado, P., Romero, J., Santos, A., Cardosoa, A., Pazos, A.: On the development of evolutionary artificial artists. Computers & Graphics 31 (2007) 818– 826

[2] Holland, J.H.: Adpatation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, MI (1975)

[3] Fogel, L.J., Owens, A.J., Walsh, M.J.: Artificial Intelligence through Simulated Evolution. John Wiley & Sons, New York (1966)

[4] Schwefel, H.P.: Kybernetische Evolution als Strategie der experimentellen Forschung in der Strömungstechnik. Dipl.Ing. Thesis, Technical University of Berlin, Hermann Föttinger–Institute for Hydrodynamics (1965)

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

[6] Dawkins, R.: The Selfish Gene. Oxford University Press, Oxford (1976)

[7] Lewis, M.: Evolutionary visual art and design. In Romero, J., Machado, P., eds.: The Art of Artificicial Evolution: a Handbook on Evolutionary Art and Music. Springer (2007)

[8] 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, IEEE Press (2006) 1087–1094

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

[10] Lewis, M.: Aesthetic video filter evolution in an interactive realtime framework. In: Applications of Evolutionary Computing, EvoWorkshops2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC. Volume 3005 of LNCS., Coimbra, Portugal, Springer Verlag (2004) 409–418

[11] 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 (2002) 209– 219

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

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

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

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

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

[17] Shiraishi, M., Yamaguchi, Y.: An algorithm for automatic painterly rendering based on local source image approximation. In: NPAR ’00: Proceedings of the 1st international symposium on Nonphotorealistic animation and rendering, New York, NY, USA, ACM (2000) 53–58


Full Text


intern file

Sonstige Links