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Proceedings Paper

Multiscale image based flow visualization
Author(s): Alexandru C. Telea; Robert Strzodka
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Paper Abstract

We present MIBFV, a method to produce real-time, multiscale animations of flow datasets. MIBFV extends the attractive features of the Image-Based Flow Visualization (IBFV) method, i.e. dense flow domain coverage with flow-aligned noise, real-time animation, implementation simplicity, and few (or no) user input requirements, to a multiscale dimension. We generate a multiscale of flow-aligned patterns using an algebraic multigrid method and use them to synthesize the noise textures required by IBFV. We demonstrate our approach with animations that combine multiple scale noise layers, in a global or level-of-detail manner.

Paper Details

Date Published: 16 January 2006
PDF: 11 pages
Proc. SPIE 6060, Visualization and Data Analysis 2006, 606001 (16 January 2006); doi: 10.1117/12.640425
Show Author Affiliations
Alexandru C. Telea, Eindhoven Univ. of Technology (Netherlands)
Robert Strzodka, Ctr. of Advanced European Stuides and Research (Germany)

Published in SPIE Proceedings Vol. 6060:
Visualization and Data Analysis 2006
Robert F. Erbacher; Jonathan C. Roberts; Matti T. Gröhn; Katy Börner, Editor(s)

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