Abstract
The stochastic ray radiosity method [10] 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.
Research performed with financial support by a grant from the Flemish ‘Institute for the Promotion of Scientific-Technological Research in Industry’ (IWT#941120).
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Neumann, A., Neumann, L., Bekaert, P., Willems, Y.D., Purgathofer, W. (1996). Importance-driven Stochastic Ray Radiosity. In: Pueyo, X., Schröder, P. (eds) Rendering Techniques ’96. EGSR 1996. Eurographics. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7484-5_12
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DOI: https://doi.org/10.1007/978-3-7091-7484-5_12
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