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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
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)
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)
Koza, J.R.: Genetic Programming: On the Programming of Computers by Natural Selection. MIT Press, Cambridge (1992)
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)
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)
Yip, C.: Evolving Image Filters. Master’s thesis, Imperial College of Science, Technology, and Medicine (2004)
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)
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)
Sims, K.: Artificial evolution for computer graphics. ACM Computer Graphics 25, 319–328 (1991)
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)
Velho, L., de Miranda Gomes, J.: Digital halftoning with space filling curves. SIGGRAPH Comput. Graph. 25, 81–90 (1991)
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)
Author information
Authors and Affiliations
Editor information
Rights 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: Giacobini, M., 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)