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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.

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).

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.

Henrik Wann Jensen
Stanford University

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