Importance-Driven Stochastic Ray Radiosity
Attila Neumann, László Neumann, Philippe Bekaert, Yves Willems, Werner Purgathofer
Eurographics Rendering Workshop, June 1996, pp. 111--122.
Abstract: The stochastic ray radiosity method is a radiosity method in which no form-factors are computed explicitly. Because of this, the method is very well-suited to compute the radiance distribution in very complex diffuse environments. In this paper we present an extension of this method which will provide a significant reduction of computational cost in cases where accurate knowledge of the illumination is needed in only a small part of the scene. This is accomplished by computing a second quantity, called importance, during the radiance computation. Importance is then used to modulate the patch sampling probabilities in order to obtain lower variance in relevant regions of the scene.
@inproceedings{Neumann:1996:ISR,
author = {Attila Neumann and László Neumann and Philippe Bekaert and Yves Willems and Werner Purgathofer},
title = {Importance-Driven Stochastic Ray Radiosity},
booktitle = {Eurographics Rendering Workshop},
pages = {111--122},
month = jun,
year = {1996},
}
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