An Importance Driven Monte-Carlo Solution to the Global Illumination Problem

Blasi, Philippe; Saëc, Bertrand Le; Schlick, Christophe

doi:10.1007/978-3-642-87825-1_13

Cited by 9 publications

(38 citation statements)

References 6 publications

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“…The interaction points that limit the rays can be obtained by using a constant step distance [4,5] or sampling a cumulative density function [14,9].…”

Section: Stochastic Methodsmentioning

confidence: 99%

“…We distinguish between the methods that set the interaction points by using a constant step distance [4,5], from those that sample a function of [14,9]. Another categorization is made according to the view dependency of the methods.…”

Section: Overviewmentioning

confidence: 99%

“…Blasi et al [4,5] describe methods to deal with participating media by using a simulation of the particle model of light (Monte Carlo light tracing). The first [4] deals with a single participating medium; the second [5] can render mixed scenes.…”

Section: Constant Distance Samplingmentioning

confidence: 99%

“…The first [4] deals with a single participating medium; the second [5] can render mixed scenes. Both take into account the multiple scattering within the media, using the Schlick [4] phase function, specially defined in such a way that the importance sampling using it is quite inexpensive, while maintaining the possibility of approximating other phase functions.…”

Section: Constant Distance Samplingmentioning

confidence: 99%

“…In [5] a progressive technique is used to render mixed scenes. Surfaces are classified as "diffuse" or "specular" depending on some threshold.…”

Section: Constant Distance Samplingmentioning

confidence: 99%

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Global Illumination Techniques for the Simulation of Participating Media

1997

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This paper surveys global illumination algorithms for environments including participating media and accounting for multiple scattering. The objective of this survey is the characterization of those methods: Identification of their base techniques, their assumptions, limitations and range of utilization. To this end, the algorithms are grouped into functional categories and each method is briefly reviewed, with a discussion of its complexity and its pros and cons. We finish by discussing some applications as well as remaining areas for investigation.

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“…The interaction points that limit the rays can be obtained by using a constant step distance [4,5] or sampling a cumulative density function [14,9].…”

Section: Stochastic Methodsmentioning

confidence: 99%

Section: Overviewmentioning

confidence: 99%

Section: Constant Distance Samplingmentioning

confidence: 99%

Section: Constant Distance Samplingmentioning

confidence: 99%

“…In [5] a progressive technique is used to render mixed scenes. Surfaces are classified as "diffuse" or "specular" depending on some threshold.…”

Section: Constant Distance Samplingmentioning

confidence: 99%

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Global Illumination Techniques for the Simulation of Participating Media

1997

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A survey on participating media rendering techniques

et al. 2005

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Rendering participating media is important for a number of domains, ranging from commercial applications (entertainment, virtual reality) to simulation systems (driving, flying and space simulators) and safety analyses (driving conditions, sign visibility). This article surveys global illumination algorithms for environments including participating media. It reviews both appearance-based and physically-based media methods, including the single scattering and the more general multiple-scattering techniques. The objective of the survey is the characterization of all these methods: Identification of their base techniques, assumptions, limitations and range of utilization. We conclude with some reflections about the suitability of the methods depending on the specific application involved, and possible future research lines.

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