Multiscale image based flow visualization

A.C. Telea, R. Strzodka

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationVisualization and Data Analysis 2006 (VDA'06, San Jose CA, USA, January 15-19, 2006), Article 606001
EditorsR.F. Erbacher, xx et al.
PublisherSPIE
Pages1-11
DOIs
Publication statusPublished - 2006

Publication series

NameProceedings of SPIE
Volume6060
ISSN (Print)0277-786X

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