Computational aesthetics based on gaze patterns

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Greenfield, G.R. (2003). Computational aesthetics based on gaze patterns. Presentation at ISAMA 2003 and the 6th Annual Bridges Conference.



Generative art systems usually rely on the technique of user-guided evolution to enable "artists" to interactively search through populations of images in order to breed those images which show aesthetic promise. We consider algorithmic criteria for automating the aesthetic evaluation step. Our criteria are inspired by a recent description of techniques used for controlling the aesthetic reorganization of photorealistic imagery. Surprisingly, our approach seems to impose a rigid style on the images we evolve. A drawback to our method is that eventually it fails to clearly differentiate between non-degenerate and degenerate images. We consider how improvements might be made.

Extended Abstract


Used References

[1] Brill, B., The endless wave, 2002 Bridges Conference Proceedings (ed. R. Sarhangi), 2002, 55-66.

[2] Chao, D., Forrest, S., Generating biomorphs with an aesthetic immune system, Artificial Life VIII Conference Proceedings (ed. R. Standish et al), MIT Press, Cambridge, MA, 2003, 89-92.

[3] DeCarlo, D., Santella, A., Stylization and abstraction of photographs, ACM 'fransactions on Graphics, 21, July, 2002, 769-776.

[4] Edmonds, E., Candy, L., Creativity, art practice, and knowledge, Commu.nications of the ACM, 10, October 2002, 91-95.

[5] Greenfield, G., Mathematical building blocks for evolving expresssions, 2000 Bridges Confer- ence Proceedings (ed. R. Sarhangi), 2000, 61-70.

[6] Greenfield,· G., Art and artificial life - a coevolutionary approach, Artificial Life VII Confer- ence Proceedings (ed. M. Bedau et al), MIT Press, Cambridge, MA, 2000, 529-536.

[7] Greenfield, G., Color dependent computational aesthetics for evolving expressions, 2002 Bridges Conference Proceedings (ed. R. Sarhangi), 2002, 9--16.

[8] van Hemert, J., Jansen, M., An engineering approach to evolutionary art, Technical Report TR-OI-01, Leiden University, 2001.

[9] Klinger, A., Salingaros, N., A pattern measure, Environment and Planning B: Planning and Design, 27 (2000) 537-547.

[10] Knowlton, K., ???

[11] Krawczyk, R., The art of spirolaterals, The Millennial Open Symposium on the Arts and Interdisciplinary Computing (eds. D. Salesin and C. Sequin), 2000, 127-136.

[12] Priebe, N., ToWards a characterization of self-similar tilings via derived Voronoi tesSelations, Geometriae Dedicata,79 (2000) 239-265.

[13] Ruderman,D., Cronin, T., Chiao, C., Statistics of cone responses to natural images: implica- tions for visual coding, J. Opt. Soc. of America, 15 (2001) 2036-2045.

[14] Sims, K, Artificial evolution for computer graphics, Computer GrnphiC8, 25 (1991) 319-328.

[15] Sprott, J., The computer artist and art critic,Practal Horizons (ed. C. Pickover), 1996, 77-115.

[16] Staudek,T.,Machala, P., Exact aesthetics of visual patterns. Researchsketch SIGGRAPH 2002, San Antonio, July 2002. (Working papers at .html.) 403

[17] Unemi, T., SBART 2.4: an IEC tool for creating two-dimensional images, movies, and collages, Leonardo, 35 (2002) 189-192.

[18] Voss, D., Sex is best, WIRED, December, 1995, 156-157.


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