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University of Illinois at Urbana-Champaign
Accelerating Physically-Based Light Transport Algorithms
Abstract
dc:descriptionThis dissertation investigates novel methods of accelerating the central computations of physically-based light transport algorithms. We present novel mappings of the crucial primitive operations of ray tracing and shading to data parallel architectures and introduce intelligent importance sampling strategies which adapt themselves to image content in an unbiased manner. We demonstrate that these techniques offer substantial improvement over the prior art and offer sufficient generality to be deployed in many path tracing-based light transport algorithms.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Computer Science
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Hoberock, Jared
- Contributors dc:contributor
-
- Hart, John C.
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI3337791
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/81829