Visualization and Illumination

Objectives

  • Qualitatively characterize the global illumination problem;
  • Formulate rendering algorithms in terms of the light transport equation;
  • Design solution for illumination problems by combining existing approaches; - Implement global ilumination algorithms;
  • Assess global illumination algorithms through their results (images);
  • Exhibit good written and oral communication capabilities.

Program

  • Empirical and physically based illumination models;
  • Radiometry and photometry;
  • Light transport mechanisms, the BRDF and the light transport equation;
  • Ray tracing
  • Monte Carlo Integration
  • Global Illumination Algorithms path tracing, bidirectional path tracing, multiple importance sampling - Results assessment metrics and methodologies.

Bibliography

“Physically Based Rendering: From Theory To Implementation” Matt Pharr, Wenzel Jakob, and Greg Humphreys Morgan Kaufmann Publishers; 4th edition (2023) (http://www.pbr-book.org/) “The Ray Tracer Challenge: A Test-Driven Guide to Your First 3D Renderer”; Jamis Buck;Pragmatic Bookshelf, 2019

Updated: