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Particle transport and image synthesis

Arvo, James and Kirk, David (1990) Particle transport and image synthesis. ACM SIGGRAPH Computer Graphics, 24 (4). pp. 63-66. ISSN 0097-8930. doi:10.1145/97880.97886.

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The rendering equation is similar to the linear Boltzmann equation which has been widely studied in physics and nuclear engineering. Consequently, many of the powerful techniques which have been developed in these fields can be applied to problems in image synthesis. In this paper we adapt several statistical techniques commonly used in neutron transport to stochastic ray tracing and, more generally, to Monte Carlo solution of the rendering equation. First, we describe a technique known as Russian roulette which can be used to terminate the recursive tracing of rays without introducing statistical bias. We also examine the practice of creating ray trees in classical ray tracing in the light of a well-known technique in particle transport known as splitting. We show that neither ray trees nor paths as described in [10] constitute an optimal sampling plan in themselves and that a hybrid may be more efficient.

Item Type:Article
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Additional Information:© 1990 ACM.
Subject Keywords:Algorithms, Graphics, Boltzmann equation, Monte Carlo, particle transport, radiosity, ray tracing, rendering equation
Issue or Number:4
Classification Code:1.3.7- [Computer Graphics]: Three-Dimensional Graphics and Realism; 1.3.3--[Computer Graphics]: Picture/Image Generation;
Record Number:CaltechAUTHORS:20160420-134938858
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Official Citation:James Arvo and David Kirk. 1990. Particle transport and image synthesis. SIGGRAPH Comput. Graph. 24, 4 (September 1990), 63-66. DOI=
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:66327
Deposited By: Kristin Buxton
Deposited On:20 Apr 2016 21:35
Last Modified:10 Nov 2021 23:56

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