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29: State of the Art in Monte Carlo Ray Tracing for Realistic
Image Synthesis
Monday, Full Day, 8:30 am - 5 pm
Room 515A
Realistic
image synthesis is increasingly important in areas such
as entertainment, design, and architecture, and in all
these areas, practitioners are requesting more realistic
images of increasingly complex models. Only Monte Carlo
ray tracing techniques can handle this complexity. This
course gives attendees a thorough understanding of the
principles of Monte Carlo ray tracing methods and a detailed
overview of the most recently developed techniques.
Prerequisites
Good working knowledge of ray tracing and the basics of
global illumination, including knowledge of radiometric
terms (such as radiance and flux) and basic reflection
models (such as diffuse, specular, and glossy).
Topics
Basic Monte Carlo integration. Low-discrepancy sequences.
Sampling of BRDF's, lights, and geometry. Variance reduction
techniques. Path integral formulation. Path tracing and
bi-directional path tracing. Metropolis light transport.
The scattering equation. Biased techniques. Irradiance
caching and photon mapping.
Organizer
Henrik Wann Jensen
Stanford University
Lecturers
James Arvo
California Institute of Technology
Marcos Fajardo
USC Institute for Creative Technologies
Pat Hanrahan
Henrik Wann Jensen
Stanford University
Don Mitchell
Matt Pharr
Exluna, Inc.
Peter Shirley
University of Utah |
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