An interactive system for solving inverse illumination problems using genetic algorithms
Inhaltsverzeichnis
Reference
Joaquin Elorza Tena , Isaac Rudomin , Av. Eugenio , Garza Sada , Cerro Gordo: An interactive system for solving inverse illumination problems using genetic algorithms. In: Proceedings of Computación Visual (1997)
DOI
Abstract
his paper presents a new approach to illumination design by image synthesis in closed environments, based in a solution of an inverse illumination problem proposed by Schoenman et al 6 .Schoeneman's work lets the user paint (using a 'light paintbrush') a scene so as to define a desired illumination of the scene. In this paper we propose to solve the above mentioned inverse illumination problem by using genetic algorithms as an optimization technique, and of radiosity based image synthesis. We have also implemented a viewer with 3d painting capabilities, to allow the interactive specification of the desired illumination. The method finds the best combination of number, positions and intensities of lights, allowing also the minimization of cost or energy consumption, that achieves (approximately) the desired illumination of the scene. Keywords: radiosity, hierarchical radiosity, genetic algorithm, illumination design, global illumination, inverse problems
Extended Abstract
Bibtex
@MISC{Tena97aninteractive,
author = {Joaquin Elorza Tena and Isaac Rudomin and Av. Eugenio and Garza Sada and Cerro Gordo},
title = {An Interactive System for Solving Inverse Illumination Problems Using Genetic Algorithms},
year = {1997}
}
Used References
1. O. Chavoya. Material de Curso Algoritmos Geneticos. Instituto Tecnologico y de Estu-dios Superiores de Monterrey, Campus Estado de Mexico, 1993.
2. M. F. Cohen and J. R. Wallace. Radiosity and Realistic Image Syntesis. Academic Press Professional, 1993.
3. D. E. Goldberg. Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, New York, First edition, 1989.
4. D. Hanrahan, P. Salzman, and L. Aupperle. A rapid hierarchical radiosity algorithm. In (SIG-GRAPH '91) Computer Graphics Proceedings, pages 197{207, 1991.
5. J. K. Kawai, J. S. Painter, and M. F. Cohen. Radioptimization - Goal Based Rendering. In Computer Graphics Proceedings, Anual Conference Series, pages 147{154, 1993.
6. C. Schoeneman, J. Dorsey, B. Smits, J. Arvo, and D. Greenberg. Painting with Light. In ComputerGraphics Proceedings, Anual Conference Series,pages 143{146, 1993.
7. F. X. Sillion and C. Puech.Radiosity and GlobalIllumination. Morgan Kaufmann Publishers, Inc., 1994
Links
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Sonstige Links
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.31.5387
