Evolving Pop Art Using Scalable Vector Graphics: Unterschied zwischen den Versionen

Aus de_evolutionary_art_org
Wechseln zu: Navigation, Suche
(Die Seite wurde neu angelegt: „ == Reference == Eelco den Heijer, A. E. Eiben: Evolving Pop Art Using Scalable Vector Graphics. In: Literatur_zur_Evolution%C3%A4ren_Kunst#EvoMUSAR…“)
 
(Bibtex)
 
(Eine dazwischenliegende Version desselben Benutzers wird nicht angezeigt)
Zeile 13: Zeile 13:
  
 
== Bibtex ==  
 
== Bibtex ==  
 +
@incollection{
 +
year={2012},
 +
isbn={978-3-642-29141-8},
 +
booktitle={Evolutionary and Biologically Inspired Music, Sound, Art and Design},
 +
volume={7247},
 +
series={Lecture Notes in Computer Science},
 +
editor={Machado, Penousal and Romero, Juan and Carballal, Adrian},
 +
doi={10.1007/978-3-642-29142-5_5},
 +
title={Evolving Pop Art Using Scalable Vector Graphics},
 +
url={http://dx.doi.org/10.1007/978-3-642-29142-5_5 http://de.evo-art.org/index.php?title=Evolving_Pop_Art_Using_Scalable_Vector_Graphics },
 +
publisher={Springer Berlin Heidelberg},
 +
author={den Heijer, E. and Eiben, A.E.},
 +
pages={48-59},
 +
language={English}
 +
}
  
 
== Used References ==
 
== Used References ==

Aktuelle Version vom 1. November 2015, 22:42 Uhr


Reference

Eelco den Heijer, A. E. Eiben: Evolving Pop Art Using Scalable Vector Graphics. In: EvoMUSART 2012, S. 48-59.

DOI

http://link.springer.com/10.1007/978-3-642-29142-5_5

Abstract

In this paper we present our findings of our continued investigation into the use of Scalable Vector Graphics as a genotype representation in evolutionary art. In previous work we investigated the feasibility of SVG as a genetic representation for evolutionary art, and found that the representation was very flexible, but that the potential visual output was somewhat limited by the simplicity of our genetic operators. In this paper we extend on this work, and introduce various new, more expressive genetic operators for SVG. We show that SVG is a flexible and powerful representation for evolutionary art, and that the potential visual output is only limited by the design of the genetic operators. With the genetic operators that we describe in this paper, we are able to evolve art that is visually similar to screen printing art and pop art.

Extended Abstract

Bibtex

@incollection{
year={2012},
isbn={978-3-642-29141-8},
booktitle={Evolutionary and Biologically Inspired Music, Sound, Art and Design},
volume={7247},
series={Lecture Notes in Computer Science},
editor={Machado, Penousal and Romero, Juan and Carballal, Adrian},
doi={10.1007/978-3-642-29142-5_5},
title={Evolving Pop Art Using Scalable Vector Graphics},
url={http://dx.doi.org/10.1007/978-3-642-29142-5_5 http://de.evo-art.org/index.php?title=Evolving_Pop_Art_Using_Scalable_Vector_Graphics },
publisher={Springer Berlin Heidelberg},
author={den Heijer, E. and Eiben, A.E.},
pages={48-59},
language={English}
}

Used References

del Acebo, E., Sbert, M.: Benford’s law for natural and synthetic images. In: Neumann et al. [16], pp. 169–176

Baluja, S., Pomerleau, D., Jochem, T.: Towards automated artificial evolution for computer-generated images. Connection Science 6, 325–354 (1994)

Bentley, P.J., Corne, D.W. (eds.): Creative Evolutionary Systems. Morgan Kaufmann, San Mateo (2001)

Birren, F.: Principles of color: a review of past traditions and modern theories of color harmony. Schiffer Publishing (1987)

Collomosse, J.: Evolutionary search for the artistic rendering of photographs. In: Romero and Machado [19], pp. 39–62

Stiny, G., Gips, J.: Shape grammars and the generative specification of painting and sculpture. In: Information Processing, pp. 1460–1465 (1972)

Gooch, B., Gooch, A.: Non-photorealistic Rendering. A.K. Peters (2001)

Greenfield, G.R.: Mathematical building blocks for evolving expressions. In: Sarhangi, R. (ed.) 2000 Bridges Conference Proceedings, pp. 61–70. Central Plain Book Manufacturing, Winfield (2000)

den Heijer, E., Eiben, A.E.: Using aesthetic measures to evolve art. In: IEEE Congress on Evolutionary Computation (CEC 2010), July 18-23, IEEE Press, Barcelona (2010)

den Heijer, E., Eiben, A.: Comparing Aesthetic Measures for Evolutionary Art. In: Di Chio, C., Brabazon, A., Di Caro, G.A., Ebner, M., Farooq, M., Fink, A., Grahl, J., Greenfield, G., Machado, P., O’Neill, M., Tarantino, E., Urquhart, N. (eds.) EvoApplications 2010. LNCS, vol. 6025, pp. 311–320. Springer, Heidelberg (2010)

den Heijer, E., Eiben, A.: Evolving art with scalable vector graphics. In: Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, GECCO 2011, pp. 427–434. ACM (2011)

Machado, P., Cardoso, A.: All the truth about nevar. Applied Intelligence 16(2), 101–118 (2002)

Machado, P., Nunes, H., Romero, J.: Graph-Based Evolution of Visual Languages. In: Di Chio, C., Brabazon, A., Di Caro, G.A., Ebner, M., Farooq, M., Fink, A., Grahl, J., Greenfield, G., Machado, P., O’Neill, M., Tarantino, E., Urquhart, N. (eds.) EvoApplications 2010. LNCS, vol. 6025, pp. 271–280. Springer, Heidelberg (2010)

Matkovic, K., Neumann, L., Neumann, A., Psik, T., Purgathofer, W.: Global contrast factor-a new approach to image contrast. In: Neumann et al. [19], pp. 159–168

Neufeld, C., Ross, B., Ralph, W.: The evolution of artistic filters. In: Romero and Machado [19], pp. 335–356

Neumann, L., Sbert, M., Gooch, B., Purgathofer, W. (eds.): Computational Aesthetics 2005: Eurographics Workshop on Computational Aesthetics in Graphics, Visualization and Imaging 2005, Girona, Spain, May 18-20. Eurographics Association (2005)

O’Neill, M., Swafford, J.M., McDermott, J., Byrne, J., Brabazon, A., Shotton, E., McNally, C., Hemberg, M.: GECCO 2009, pp. 1035–1042. ACM (2009)

Perry, M.: Pulled: A Catalog of Screen Printing. Princeton Architectural Press (2011)

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 and Corne [3], pp. 339–365

Ross, B., Ralph, W., Zong, H.: Evolutionary image synthesis using a model of aesthetics. In: IEEE Congress on Evolutionary Computation, CEC 2006, pp. 1087–1094 (2006)

Schnier, T., Gero, J.S.: Learning genetic representations as alternative to handcoded shape grammars. In: Artificial Intelligence in Design (1996)

Selinger, P.: Potrace: a polygon-based tracing algorithm (2003), http://potrace.sourceforge.net/potrace.pdf

Sims, K.: Artificial evolution for computer graphics. In: SIGGRAPH 1991: Proceedings of the 18th Annual Conference on Computer Graphics and Interactive Techniques, vol. 25, pp. 319–328. ACM Press (July 1991)

(W3C), W.W.W.C.: Scalable vector graphics (svg), http://www.w3.org/Graphics/SVG/


Links

Full Text

[extern file]

intern file

Sonstige Links

Using Scalable Vector Graphics to evolve art