Anisotropic Density Estimation in Global Illumination - a journey through time and space – Københavns Universitet

Anisotropic Density Estimation in Global Illumination - a journey through time and space

PhD-defense by Lars Schjøth

Abstract

Density estimation employed in multi-pass global illumination algorithms gives cause to a trade-off problem between bias and noise. The problem is seen most evident as blurring of strong illumination features. This thesis addresses the problem, presenting four methods that reduce both noise and bias in estimates. Good results are obtained by the use of anisotropic filtering. Two methods handle the most common cases; filtering illumination reflected from object surfaces. One method extends filtering to the temporal domain and one performs filtering on illumination from participating media. The applicability of the algorithms is demonstrated through a series of tests.


Assessment Committee:

Chairman: Kim Steenstrup Pedersen, DIKU
Professor Karol Myszkowski (Max-Planck Institute für Informatik, Germany)
Lektor Jakob Andreas Bærentzen (DTU, Denmark)

Academic supervisors:

Jon Sporring and Kenny Erleben, DIKU