Image-based flow visualization: Difference between revisions

Browse history interactively

← Previous edit

Content deleted Content added

VisualWikitext

Revision as of 01:04, 13 September 2019 edit JJMC89 (talk \| contribs) Edit filter managers, Autopatrolled, Administrators 346,131 edits m Removing link(s): Wikipedia:Miscellany for deletion/Portal:Computer science (Xunlink) ← Previous edit		Latest revision as of 00:58, 29 July 2025 edit undo Headbomb (talk \| contribs) Edit filter managers, Autopatrolled, Extended confirmed users, Page movers, File movers, New page reviewers, Pending changes reviewers, Rollbackers, Template editors 472,860 edits Add: chapter, title, url. Removed URL that duplicated identifier. \| Use this tool. Report bugs. \| #UCB_Gadget
(7 intermediate revisions by 5 users not shown)
Line 1: [[File:Image-based flow visualization.png\|thumb\|Image-based flow visualization where a grid image is advected by the flow field.]] In [[scientific visualization]], '''image-based flow visualization''' (or '''visualisation''') is a computer modelling technique developed by [[Jarke van Wijk]] <ref>{{cite journal\|last=van Wijk\|first=Jack\|authorlink=Jack van Wijk\|title=Image Based Flow Visualization\|journal=Proceedings ACM SIGGRAPH 2002, San Antonio, Texas\|year=2002\|url=http://www.win.tue.nl/~vanwijk/ibfv/ibfv.pdf}}</ref> to visualize two dimensional flows of liquids such as water and air, like the wind movement of a [[tornado]]. Compared with integration techniques it has the advantage of producing a whole image at every step, as the technique relies upon graphical computing methods for frame-by-frame capture of the model of advective transport of a decaying dye. It is a method from the [[texture advection]] family. ==Principle== Line 8: [[File:Image-Based Flow Visualization.svg\|Warping of the grid and resampling at original locations]] The advantage of this approach is that it can be accelerated on modern graphics hardware, thus allowing for [[real-time simulation\|real-time]] or almost real-time simulation of 2D flow data. This is particularly handy if one wants to visualise multiple scaled versions of the vector field to first gain an overview and then concentrate on the details.<ref>{{cite ~~journal\|title=Multiscale~~book ~~Image Based Flow Visualization~~\|~~journal~~series=Proceedings of the SPIE's ~~Conference on Visualization and Data Analysis (VDA) 2006~~\|volume=6060 \|pages=606001 \|year=2006 \|url=http://www.mpi-inf.mpg.de/~strzodka/papers/public/TeSt06MIBFV.pdf \|bibcode=2006SPIE.6060E..01T \|last1=Telea \|first1=Alexandru \|last2=Strzodka \|first2=Robert \|~~doi=10.1117/12.640425\|series~~title=Visualization and Data Analysis 2006 \|chapter=Multiscale image based flow visualization \|editor-first1=Robert F. \|editor-first2=Jonathan C. \|editor-first3=Matti T. \|editor-first4=Katy \|editor-last1=Erbacher \|editor-last2=Roberts \|editor-last3=Gröhn \|editor-last4=Börner \|doi=10.1117/12.640425 \|citeseerx=10.1.1.72.3457 \|s2cid=14935756 }}{{Dead link\|date=September 2024 \|bot=InternetArchiveBot \|fix-attempted=yes }}</ref> ==References== Line 16: * [http://www.win.tue.nl/~vanwijk/ibfv/ Website of Jarke van Wijk with demo software and pictures] [[Category:Scientific ~~modeling~~visualization]] [[Category:Numerical function drawing]] [[Category:Fluid dynamics]]