Abstract
In computer graphics the accurate simulation of radiant light transfer is an essential to realistic rendering. In general, for every elementary surface area within a scene the total irradiance incident from the entire half-space has to be accounted for. In a mathematical formulation this leads to a complex system of integral equations, referred to as Rendering Equation [Kaj86]. Since usually it is not possible to find a closed form analytical solution, the Rendering Equation is solved approximately by defining a probabilistic model of the radiation exchange process and applying Monte Carlo methods.
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References
Beyer, Markus: Approximation der Rendering Equation durch Evolutionäre Algorithmen. Technische Hochschule Darmstadt, Diplomarbeit, 1994.
Drettakis, G.; Fiume, E.: Structure-Directed Sampling, Reconstruction and Data Representation for Global Illumination. Proceedings of the Second Eurographics Workshop on Rendering, 1991.
Goldberg, David E.: Genetic Algorithms in Search, Optimization and Machine Learning. Reading, Massachusetts: Addison-Wesley, 1989.
Holland, John H.: Adaptation in natural and artificial Systems. Ann Arbor, Michigan: The University of Michigan Press, 1975.
Kajiya, James T.: The Rendering Equation. In: Computer Graphics (Siggraph ’86 Proceedings) 20(4), August 1986, S. 143–150.
Kirk, David; Arvo, James: Unbiased Variance Reduction for Global Illumi-nation. Proceedings of the Second Eurographics Workshop on Rendering, 1991.
Lange, Brigitta: The Simulation of Radiant Light Transfer with Stochastic Ray-Tracing. Proceedings of the Second Eurographics Workshop on Rendering, 1991.
Michalewicz, Zbigniew: Genetic Algorithms + Data Structures = Evolution Programs. Berlin; Heidelberg: Springer, 1992.
Rechenberg, Ingo: Evolutions strategie. Stuttgart: Frommann-Holzboog, 1973.
Rubinstein, Reuven Y.: Simulation and the Monte Carlo Method. New York: Wiley and Sons, 1981.
Schwefel, Hans-P.: Evolutions strategie und numerische Optimierung. Tech-nische Universität Berlin, Fachbereich Verfahrenstechnik, Dissertation, 1975.
Schwefel, Hans-P.: Numerische Optimierung von Computer-Modellen mittels der Evolutions strategie. Basel, Birkhäuser, 1977.
Shirley, Peter S.: Physically Based Lighting Calculations for Computer Gra-phics. Urbana, University of Illinois, PhD Thesis, 1991.
Ward, Gregory J.: The Radiance Lighting Simulation System. Global Illumination, ACM Siggraph’92; Course Notes of the 19th Annual Conference and Exhibition on Computer Graphics and Interactive Techniques, July 1992.
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© 1995 EUROGRAPHICS The European Association for Computer Graphics
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Lange, B., Beyer, M. (1995). Rayvolution: An Evolutionary Ray Tracing Algorithm. In: Sakas, G., Müller, S., Shirley, P. (eds) Photorealistic Rendering Techniques. Focus on Computer Graphics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-87825-1_10
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DOI: https://doi.org/10.1007/978-3-642-87825-1_10
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