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Filtering Techniques for Low-Noise Previews of Interactive Stochastic Ray Tracing

Schwenk, Karsten (2013)
Filtering Techniques for Low-Noise Previews of Interactive Stochastic Ray Tracing.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

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Item Type: Ph.D. Thesis
Type of entry: Primary publication
Title: Filtering Techniques for Low-Noise Previews of Interactive Stochastic Ray Tracing
Language: English
Referees: Fellner, Prof. Dr. Dieter W. ; Dachsbacher, Prof. Dr. Carsten
Date: 29 August 2013
Place of Publication: Darmstadt
Date of oral examination: 5 July 2013
Abstract:

Progressive stochastic ray tracing is increasingly used in interactive applications. Examples of such applications are interactive design reviews and digital content creation. This dissertation aims at advancing this development. For one thing, two filtering techniques are presented, which can generate fast and reliable previews of global illumination solutions. For another thing, a system architecture is presented, which supports exchangeable rendering back-ends in distributed rendering systems.

Alternative Abstract:
Alternative AbstractLanguage

Progressive stochastische Raytracing-Algorithmen kommen vermehrt in interaktiven Anwendungen zum Einsatz. Beispiele für solche Anwendungen sind interaktive Design Reviews und Digital Content Creation. Ziel dieser Dissertation ist es, diese Entwicklung weiter voranzutreiben. Zum einen werden zwei Filtertechniken präsentiert, die schnelle und verlässliche Vorschaubilder von Renderings mit globaler Beleuchtung erzeugen können. Zum anderen wird eine Systemarchitektur präsentiert, die austauschbare Rendering-Backends in verteilten Rendering-Systemen unterstützt.

German
Uncontrolled Keywords: Denoising, Interactive Global Illumination, Ray Tracing
URN: urn:nbn:de:tuda-tuprints-35906
Classification DDC: 000 Generalities, computers, information > 004 Computer science
Divisions: 20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 04 Sep 2013 14:10
Last Modified: 23 Jun 2017 08:49
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/3590
PPN: 328028908
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