Abstract
This paper presents research into the unsupervised evolution of aesthetically pleasing images using measures for symmetry, compositional balance and liveliness. Our evolutionary art system does not use human aesthetic evaluation, but uses measures for symmetry, compositional balance and liveliness as fitness functions. Our symmetry measure calculates the difference in intensity of opposing pixels around one or more axes. Our measure of compositional balance calculates the similarity between two parts of an image using a colour image distance function. Using the latter measure, we are able to evolve images that show a notion of ‘balance’ but are not necessarily symmetrical. Our measure for liveliness uses the entropy of the intensity of the pixels of the image. We evaluated the effect of these aesthetic measures by performing a number of experiments in which each aesthetic measure was used as a fitness function. We combined our measure for symmetry with existing aesthetic measures using a multi-objective evolutionary algorithm (NSGA-II).
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References
Arnheim, R.: The power of the center: a study of composition in the visual arts. University of California Press (1988)
Baluja, S., Pomerleau, D., Jochem, T.: Towards automated artificial evolution for computer-generated images. Connection Science 6, 325–354 (1994)
Bauerly, M.P., Liu, Y.: Development and validation of a symmetry metric for interface aesthetics. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49(5), 681–685 (2005)
Bauerly, M.P., Liu, Y.: Effects of symmetry and number of compositional elements on interface and design aesthetics. International Journal of Human-Computer Interaction 24(3), 275–287 (2008)
Bentley, P.J., Corne, D.W. (eds.): Creative Evolutionary Systems. Morgan Kaufmann, San Mateo (2001)
Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast elitist multi-objective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6, 182–197 (2002)
den Heijer, E., Eiben, A.E.: Comparing aesthetic measures for evolutionary art. In: Di Chio, C., et al. (eds.) EvoApplications 2010, Part II. LNCS, vol. 6025, pp. 311–320. Springer, Heidelberg (2010)
den Heijer, E., Eiben, A.E.: Using aesthetic measures to evolve art. In: IEEE Congress on Evolutionary Computation, pp. 311–320 (2010)
den Heijer, E., Eiben, A.E.: Evolving art using multiple aesthetic measures. In: Di Chio, C., et al. (eds.) EvoApplications 2011, Part II. LNCS, vol. 6625, pp. 234–243. Springer, Heidelberg (2011)
den Heijer, E., Eiben, A.E.: Evolving pop art using scalable vector graphics. In: Machado, P., Romero, J., Carballal, A. (eds.) EvoMUSART 2012. LNCS, vol. 7247, pp. 48–59. Springer, Heidelberg (2012)
Dutton, D.: The Art Instinct. Oxford University Press (2009)
Eiben, A.E., Smith, J.E.: Introduction to Evolutionary Computing. Natural Computing Series. Springer (2008)
Etcoff, N.: Survival of the prettiest: the science of beauty. Anchor Books (1999)
Greenfield, G.R.: Evolving aesthetic images using multiobjective optimization. In: Proceedings of the 2003 Congress on Evolutionary Computation, CEC 2003, pp. 1903–1909. IEEE Press (2003)
Locher, P., Nodine, C.: The perceptual value of symmetry. Computers & Mathematics with Applications 17(4-6), 475–484 (1989)
Machado, P., Cardoso, A.: Computing aesthetics. In: de Oliveira, F.M. (ed.) SBIA 1998. LNCS (LNAI), vol. 1515, pp. 219–228. Springer, Heidelberg (1998)
Machado, P., Cardoso, A.: All the truth about nevar. Applied Intelligence 16(2), 101–118 (2002)
Matkovic, K., Neumann, L., Neumann, A., Psik, T., Purgathofer, W.: Global contrast factor-a new approach to image contrast. In: Neumann, L., et al. (eds.) Computational Aesthetics, pp. 159–168. Eurographics Association (2005)
Ngo, D.C.L., Samsudin, A., Abdullah, R.: Aesthetic measures for assessing graphic screens. J. Inf. Sci. Eng. 16(1), 97–116 (2000)
Reber, R., Schwarz, N., Winkielman, P.: Processing fluency and aesthetic pleasure: is beauty in the perceiver’s processing experience? Personality and Social Psychology Review 8(4), 364–382 (2004)
Rigau, J., Feixas, M., Sbert, M.: Informational aesthetics measures. IEEE Computer Graphics and Applications 28(2), 24–34 (2008)
Romero, J., Machado, P. (eds.): The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music. Natural Computing Series. Springer, Heidelberg (2007)
Rooke, S.: Eons of genetically evolved algorithmic images. In: Bentley, Corne (eds.) [5], pp. 339–365
Ross, B., Ralph, W., Zong, H.: Evolutionary image synthesis using a model of aesthetics. In: IEEE Congress on Evolutionary Computation (CEC), pp. 1087–1094 (2006)
Sims, K.: Artificial evolution for computer graphics. In: SIGGRAPH 1991: Proceedings of the 18th Annual Conference on Computer Graphics and Interactive Techniques, vol. 25(4), pp. 319–328 (July 1991)
Stricker, M., Orengo, M.: Similarity of color images. In: Storage and Retrieval of Image and Video Databases III, vol. 2, pp. 381–392 (1995)
Weyl, H.: Symmetry. Princeton University Press (1983)
White, A.W.: The Elements of Graphic Design, 2nd edn. Allworth Press (2011)
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den Heijer, E. (2015). Evolving Symmetric and Balanced Art. In: Madani, K., Correia, A., Rosa, A., Filipe, J. (eds) Computational Intelligence. IJCCI 2012. Studies in Computational Intelligence, vol 577. Springer, Cham. https://doi.org/10.1007/978-3-319-11271-8_3
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DOI: https://doi.org/10.1007/978-3-319-11271-8_3
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