http://de.evo-art.org/index.php?action=history&feed=atom&title=Artificial_evolution_of_algebraic_surfaces 2026-05-07T09:37:33Z Versionsgeschichte dieser Seite in de_evolutionary_art_org MediaWiki 1.27.4 http://de.evo-art.org/index.php?title=Artificial_evolution_of_algebraic_surfaces&diff=1026&oldid=prev 2014-11-07T20:45:24Z

<p>Die Seite wurde neu angelegt: „Bedwell, E.J., Ebert, D.S. (1999). Artificial evolution of algebraic surfaces. Proceedings Implicit Surfaces ’99. == Reference == == DOI == http://citeseer…“</p> <p><b>Neue Seite</b></p><div>Bedwell, E.J., Ebert, D.S. (1999). Artificial evolution of algebraic surfaces. Proceedings Implicit Surfaces ’99. <br /> == Reference ==<br /> <br /> == DOI ==<br /> http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.39.6168 <br /> <br /> == Abstract ==<br /> Procedural techniques are widely used in computer graphics to<br /> generate models, textures, and animations. Proceduralism<br /> provides a means to abstract a given task away from the user and<br /> place the burden of complexity on the computer. Through the use<br /> of these procedural methods, developers can provide parametric<br /> interfaces to users so that a complex system can manipulated<br /> through a relatively small number of simple controls. However,<br /> these controls are often non-intuitive and require the user to have<br /> some prior knowledge of the underlying techniques. This thesis<br /> presents a system that combines implicit surfaces and genetic<br /> algorithms in order to solve the problems inherent with parametric<br /> control. By treating implicit surface representations as genotypes<br /> with a genetic algorithm, complex geometry can be generated in a<br /> semi-automated fashion. The only effort required of the user is to<br /> select individual surfaces that most closely approximate their<br /> target model. Furthermore, the user can bias the mating of two<br /> individuals thereby making slight changes to a specific surface in<br /> order to refine the model. Thus, the user is provided with a means<br /> of procedurally generating highly complex geometry without<br /> needing to have any prior understanding of the underlying<br /> techniques.<br /> <br /> == Extended Abstract ==<br /> <br /> == Bibtex == <br /> <br /> == Used References ==<br /> [BLO97] J. Bloomental, The Geometry of Implicit Surfaces, in<br /> J. Bloomenthal (ed.), Introduction to Implicit<br /> Surfaces, Morgan-Kaufmann, 1997, pp. 3-51.<br /> <br /> [EBE98] Ebert, D., Bedwell, E., &quot;Implicit Modeling with<br /> Procedural Techniques,&quot; Proceedings Implicit<br /> Surfaces &#039;98, June 1998, Seattle, Wa.<br /> <br /> [HOL75] J. Holland, Adaptation in Natural and Artificial<br /> Systems, University of Michigan Press, Ann Arbor<br /> Michigan, 1975<br /> <br /> [KOZ90] J. Koza, Genetic Programming: A Paradigm for<br /> Genetically Breeding Populations of Computer<br /> Programs to Solve Problems, Stanford University<br /> Department of Computer Science Technical Report<br /> STAN-CS-90-1314, June 1990<br /> <br /> [SIM91] K. Sims, Artificial Evolution for Computer Graphics,<br /> Computer Graphics, Vol. 25, No. 4, 1991, pp. 319-<br /> 328 (Proceedings of SIGGRAPH 91)<br /> <br /> [TOD92] S. Todd, W. Latham, Evolutionary Art and<br /> Computers, Academic Press, London, 1992<br /> <br /> <br /> == Links ==<br /> === Full Text === <br /> http://www.ece.purdue.edu/~ebertd/papers/bedwell_is99.pdf<br /> <br /> [[intern file]]<br /> <br /> === Sonstige Links ===</div>

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