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Autonomous lighting agents in photon mapping

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5876 LNCS(PART 2) 919-928
DOI: 10.1007/978-3-642-10520-3_88
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Abstract

In computer graphics, global illumination algorithms such as photon mapping require to gather large volumes of data which can be heavily redundant. We propose a new characterization of useful data and a new optimization method for the photon mapping algorithm using structures borrowed from Artificial Intelligence such as autonomous agents. © 2009 Springer-Verlag.

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Herubel, A., Biri, V., & Deverly, S. (2009). Autonomous lighting agents in photon mapping. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5876 LNCS, pp. 919–928). https://doi.org/10.1007/978-3-642-10520-3_88

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