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Participating Media

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Title: Participating Media


1
Participating Media
CICyT TIC98-0973-C03-03 Zaragoza meeting Nov 2000
Frederic Pérez GGG-IIiA/UdGGirona, Spain
2
Outline
  • Participating media Quick review
  • Two Pass algorithm Link Probabilities
  • LDI approach

3
Participating Media Transport Equation
being
4
Participating Media Phase functions
Linear-anisotropic phase function
Rayleigh scattering
Hazy atmosphere Mie approximation
5
Participating Media Solving the problem
1. Source radiance
2. Integral transport equation
? Two pass methods
6
Link Probabilities Overview
  • 1st Pass Radiance Clustering
  • Produces Hierarchical Links
  • Coarse solution not for rendering
  • 2nd Pass Monte Carlo Path Tracing
  • Improved Importance Sampling with Link
    Probabilities
  • Use links arriving at leaves as a representation
    of the irradiance

7
Radiance Clustering Results
Isotropic
Backward
Forward
8
Link Probabilities Basic Algorithm
  • Importance Sampling in a random walk step

for each bounce at point x
x
9
Link Probabilities
  • PDF accuracy and visibility Example

S1
l1
S2
l2
R
Finite elements pass ? two links arriving at
leaf R
10
Link Probabilities
  • PDF accuracy and visibility

Solution Adaptive PDFs
11
Link Probabilities Results w/o media
16 samples
128 samples
64 samples
NEE
806s
1613s
201s
LP
1273s
2434s
409s
12
Current Work New Two Pass Method
  • New code Getting rid of BRIGHT SIR
  • New code using the new SIR
  • New 1st pass particle tracing based
  • Same requirements as previous 1st pass
  • Obtain quickly a coarse solution to guide a 2nd
    pass
  • Maintaining the 2nd pass using the Link
    Probabilities
  • Reimplementing and finishing it

13
Current Work New 1st Pass
  • Extended Hierarchical Monte Carlo Radiosity ?
    Link hierarchy
  • Bekaert et al. Hierarchical Monte Carlo
    Radiosity. In Rendering Techniques 98
  • Adaptively refined mesh and (implicit) link
    structure ? but storing links for the 2nd pass
  • Extended for anisotropic participating media and
    glossy surfaces ? by means of Illumination Samples

14
Current Work First Results
15
Link Probabilities Near Future Work
  • Extension for isotropic participating media
  • Account for links arriving to leaf clusters with
    media and sample directions as for surfaces
  • Addition of anisotropic participating media and
    glossy surfaces
  • Account for phase function/BRDF
  • Use of Link Probabilities in BPT
  • Eye paths as presented
  • Light paths similarly using importance

16
LDI Approach Idea
  • 1st Pass Photon tracing
  • Produces a photon map
  • From photon map ? Grid or set of photons w/
    in a special LDI
  • 2nd Pass Computing the eye radiance
  • Just by using the estimated

17
LDI Approach Idea
Spherical Harmonics
Infinite series able to represent functions
defined over a sphere
18
The end
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