Abstract
The radiosity method is one of the most popular global illumination models in which highly realistic synthetic images can be achieved. In this paper we present a parallel algorithm for computing the progressive radiosity method on distributed memory systems. Our implementation allows to work with large scenes using a partition of the input scene among the processors; besides good results in terms of speedup have been obtained. © Springer-Verlag Berlin Heidelberg 2003.
Cite
CITATION STYLE
Guerra, A. P., Amor, M., Padrón, E. J., & Doallo, R. (2003). A high-performance progressive radiosity method based on scene partitioning. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2565, 537–548. https://doi.org/10.1007/3-540-36569-9_36
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