Sampling based real-time approximations on CPUs and GPUs - with application to rendering of multi layered materials and pathfinding

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00007581
URN to cite this document: urn:nbn:de:bvb:703-epub-7581-3

Title data

Reischl, Maximilian:
Sampling based real-time approximations on CPUs and GPUs - with application to rendering of multi layered materials and pathfinding.
Bayreuth , 2024 . - VII, 51 P.
( Doctoral thesis, 2024 , University of Bayreuth, Faculty of Mathematics, Physics and Computer Sciences)

	Format: PDF Name: Dissertation_Reischl.pdf Version: Published Version Available under License German copyright law. The document may be used free of charge for personal use. In addition, the reproduction, editing, distribution and any kind of exploitation require the written consent of the respective rights holder.
	Download (9MB)

Abstract

Estimation and approximation are essential parts of the history of electronic computing, especially in simulation and games. In this work, we present two new approaches to problems that are not solvable in real-time by the methods normally used, and show how our approaches achieve this in a scalable way with minimal constraints, as well as incorporating GPUs for computation. First, we establish a method that enables real-time volume scattering in multilayer materials for entertainment and medical applications. Second, one that enables the computation of paths for a variety of agents with minimal precomputation for entertainment technology and simulations, also in real-time.

Abstract in another language

Näherung und Schätzungen sind wesentliche Bestandteile der Geschichte der elektronischen Datenverarbeitung, insbesondere im Bereich der Simulation und der Spiele. In dieser Arbeit stellen wir zwei neue Ansätze für Probleme vor, die mit den normalerweise verwendeten Methoden nicht in Echtzeit lösbar sind, und zeigen, wie unsere Ansätze dies auf skalierbare Weise mit minimalen Einschränkungen erreicht sowie GPUs zur Berechnung einbezieht. Zum einen etablieren wir ein Verfahren, das Volumenstreuung in mehrlagigen Materialien für Unterhaltungstechnik und medizinische Anwendungen in Echtzeit ermöglicht. Zum anderen eines, das die Berechnung von Pfaden für eine Vielzahl von Agenten mit minimaler Vorberechnung für Unterhaltungstechnik und Simulationen ebenfalls in Echtzeit ermöglicht.

Further data

Item Type:	Doctoral thesis (No information)
Keywords:	GPGPU; pathfinding; ai; rendering; teeth
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 600 Technology, medicine, applied sciences > 610 Medicine and health
Institutions of the University:	Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Professor Applied Computer Science V > Professor Applied Computer Science V - Univ.-Prof. Dr. Michael Guthe Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Professor Applied Computer Science V
Language:	English
Originates at UBT:	Yes
URN:	urn:nbn:de:bvb:703-epub-7581-3
Date Deposited:	18 Mar 2024 11:48
Last Modified:	18 Mar 2024 11:50
URI:	https://epub.uni-bayreuth.de/id/eprint/7581

Download Statistics

Download Statistics

Download Statistics

Downloads

Downloads per month over past year