Real-TimeWater Animation and Rendering using Wavefront Parameter Interpolation

Examensarbete för masterexamen

Please use this identifier to cite or link to this item:
Download file(s):
File Description SizeFormat 
249175.pdfFulltext1.78 MBAdobe PDFThumbnail
Bibliographical item details
Type: Examensarbete för masterexamen
Master Thesis
Title: Real-TimeWater Animation and Rendering using Wavefront Parameter Interpolation
Authors: Olsson, Gustav
Abstract: Realistic simulation and rendering of water is a challenge within the eld of computer graphics because of its inherent multi-scale nature. When observing a large body of water such as the sea, there are small waves and perturbations visible close to the observer. As the distance increases, the small scale details form large scale wave patterns that may be several kilometers away. A common approach to rendering large bodies of water in real-time is to simulate deep water waves in a small area and repeat the wave motions across the water surface at di erent spatial scales in order to minimize repetition patterns. This method gives excellent results at open sea but cannot react to changes in water depth or the terrain of the virtual scene. In this thesis, an algorithm for rendering large expanses of water that interact with the terrain of the virtual scene in real-time is presented. The proposed algorithm rst simulates water waves in a pre-computation step and saves wavefront parameters on a coarse triangle mesh as proposed by Jeschke and Wojtan [2015]. Then, the stored simulation is evaluated and the water surface is rendered in real-time using a novel staggered update scheme. The staggered update scheme e ectively improves the rendering performance by a factor of 8 and makes it possible to render water surfaces of up to 16 square kilometers with excellent visual quality and wave patterns at multiple spatial scales.
Keywords: Informations- och kommunikationsteknik;Data- och informationsvetenskap;Information & Communication Technology;Computer and Information Science
Issue Date: 2017
Publisher: Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)
Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers)
Collection:Examensarbeten för masterexamen // Master Theses

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.