A multiagent approach to distributed rendering optimization

Autoren Carlos Gonzalez-Morcillo
Gerhard Weiß
L. Jimenez
D. Vallejo
Titel A multiagent approach to distributed rendering optimization
Buchtitel Proc. 19th Annual Conf. on Innovative Applications of Artificial Intelligence (IAAI 2007)
Typ in Konferenzband
Verlag AAAI Press, Menol Park (CA)
Ort Vancouver, Britisch Columbia, Canada
ISBN 978-1-57735-323-2
Monat July
Jahr 2007
Seiten 1775-1780
SCCH ID# 713

Physically based rendering is the process of generating a 2D image from the abstract description of a 3D Scene. Despite the development of various new techniques and algorithms, the computational requirements of generating photorealistic images still do not allow to render in real time. Moreover, the configuration of good render quality parameters is very difficult and often too complex to be done by non-expert users. This paper describes a novel approach called MAgarRO (standing for “Multi-Agent AppRoach to Rendering Optimization”) which utilizes principles and techniques known from the field of multi-agent systems to optimize the rendering process. Experimental results are presented which show the benefits of MAgarRO-based rendering optimizatio