2000
DOI: 10.1002/1099-1778(200012)11:5<279::aid-vis234>3.0.co;2-p
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Modeling and rendering of gaseous phenomena using particle maps

Abstract: Any modeling scheme for gaseous phenomena in graphics has to capture three aspects: the fuzzy geometry of the gas, the dynamics, characterized by the presence of vortices, and the interaction of light with the gaseous volume. We represent the gaseous volume as a particle system and apply Vortex Element Methods (VEM) to model the dynamics. A Lagrangian formulation that is gridless and hence ideal for unbounded flows is used. A gridless approach to ray tracing the particle systems is developed using particle map… Show more

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Cited by 10 publications
(8 citation statements)
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References 30 publications
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“…Stochastic methods solve the transport equation by means of random sampling, using random paths along interaction points. We distinguish between the methods that set the interaction points by using a constant step distance [9,10], from those that sample a function of κ t , which include light tracing [66,68], bidirectional path-tracing [46], photon maps [37,47,23,1] and Metropolis Light Transport [67]. Another categorization is made according to the view dependency of the methods.…”
Section: Multiple Scatteringmentioning
confidence: 99%
See 1 more Smart Citation
“…Stochastic methods solve the transport equation by means of random sampling, using random paths along interaction points. We distinguish between the methods that set the interaction points by using a constant step distance [9,10], from those that sample a function of κ t , which include light tracing [66,68], bidirectional path-tracing [46], photon maps [37,47,23,1] and Metropolis Light Transport [67]. Another categorization is made according to the view dependency of the methods.…”
Section: Multiple Scatteringmentioning
confidence: 99%
“…Adabala and Manohar [1] use particle systems to model gaseous volumes, allowing the treatment of inhomogeneous anisotropically scattering media. By displacing the particles following fluids dynamics equations, the model can evolve in time, avoiding the use of grids.…”
Section: Random Distance Samplingmentioning
confidence: 99%
“…The work which uses the Lagrangian formulation for dynamics simulation include the scientific visualization paper of Ma et al [36] where a simulation of turbulent mixing of gases and particles is visualized. Our work [37] which uses Vortex Element Methods (VEM) [33] techniques to simulate gaseous dynamics also belongs to this class.…”
Section: Lagrangian Techniquesmentioning
confidence: 99%
“…A graphics tools developer can use this framework to evolve new techniques to visualize fluids by exploring combinations of methods not explored before. As an example, the technique of particle maps [37], has been developed by the authors as a method that combines the benefits of texture and particle based methods.…”
Section: Frameworkmentioning
confidence: 99%
“…Stochastic methods solve the transport equation by means of random sampling, using random paths along interaction points. We distinguish between the methods that set the interaction points by using a constant step distance [20,21], from those that sample a function of κ t , which include light tracing [114], bidirectional path-tracing [83], photon maps [71,84,44,7] and Metropolis Light Transport [116]. Another categorization is made according to the view dependency of the methods.…”
Section: Multiple Scatteringmentioning
confidence: 99%