Mathematical Models and Monte Carlo Algorithms for Physically Based
Rendering
Mathematical Models and Monte Carlo Algorithms for Physically Based
Rendering
[Dissertation]
[Abstract]
[Overview]
[Contents]
[Images]
Figure 4.3: Path tracing: example scene.
Figure 4.4: Path tracing: example rays.
Figure 4.8: Next event estimation in path tracing: example
scene.
Figure 4.9: Next event estimation in path tracing: example
rays.
Figure 4.15: Next event estimation in light tracing: example
scene.
Figure 4.16: Next event estimation in light tracing: example
rays.
Figure 4.21: Bidirectional path tracing: example scene.
Figure 4.22: Next event estimation in path tracing: example
rays.
A. 
B. 
C. 
D. 
E. 
Figure 5.1: Test scenes.
Figure 5.2: Office scene, illuminated by neon lighting.
Figure 5.3: Office scene, illuminated by spot lights.
Figure 5.6: Test scene A rendered without and with next event
estimation (with the same amount of work).
Figure 5.7: Test scene A rendered with combined estimators
(with the same amount of work).
Figure 5.9: Test scene C rendered with path tracing with next
event estimation (at only 10 samples per pixel), without and with control
variates.
Figure 5.10: Test scene C rendered with path tracing and with
bidirectional path tracing (with the same amount of work).
Figure 5.11: Test scene E rendered with path tracing and with
bidirectional path tracing (with the same amount of work).
Figure 6.1: Office scene with depth of field.
Figure 6.2: Office scene with motion blur.