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44. Monte Carlo Ray Tracing
Tuesday, Full Day, 8:30 am - 5:30 pm
Room 30 A-D
Level: Advanced

A detailed overview of the state of the art in Monte Carlo ray tracing with a focus on realistic image synthesis and global illumination.

Prerequisites
Attendees should have a good working knowledge of ray tracing and know the basics of global illumination: knowledge of radiometric terms (such as radiance and flux) and knowledge of basic reflection models (such as diffuse, specular, and glossy). Knowledge of basic probability calculus is helpful as well.

Topics
Basic Monte Carlo integration. Sampling of BRDFs, lights, and geometry. Variance reduction techniques. Quasi-Monte Carlo techniques. Path-integral formulation. Path tracing and bidirectional path tracing. Metropolis light transport.

Organizer
Henrik Wann Jensen
University of California, San Diego

Lecturers
James Arvo
University of California, Irvine

Philip Dutré
Katholieke Universiteit Leuven

Alexander Keller
Universität Kaiserslautern

Henrik Wann Jensen
University of California, San Diego

Art Owen
Stanford University

Matt Pharr
NVIDIA Corporation

Peter Shirley
University of Utah

Schedule

8:30 Introduction and Welcome
Jensen
8:40 Why Monte Carlo Ray Tracing?
Shirley
9:00 Fundamentals of Monte Carlo Integration
Shirley
9:30 A Recipe for Sampling Algorithms
Arvo
10:15 Break
10:30 Direct Illumination
Shirley
11:00 Variance Reduction Techniques
Arvo
11:30 Quasi-Monte Carlo Techniques
Owen
Noon Lunch
2:15 The Rendering Equation
Dutré
3:00 Quasi-Monte Carlo Techniques II
Keller
4:00 Break
4:15 Metropolis Sampling
Pharr
5:00 Biased Monte Carlo Ray Tracing
Jensen



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