Image-based flow visualization: Difference between revisions

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[[File:Image-based flow visualization.png|thumb|Image-based flow visualization where a grid image is advected by the flow field.]]

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In [[scientific visualization]], '''image-based flow visualization''' is a technique proposed 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 flows, like the wind movement of a [[tornado]]. Compared with classical Integration like techniques it has the advantage of producing a whole image at every step. It is a method from the [[texture advection]] family.

In [[scientific visualization]], '''image-based flow visualization''' (or '''visualisation''') is a computer modelling technique proposeddeveloped 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 classical Integration likeintegration 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 ==

The core idea is to create a noise texture on a regular grid and then bend this grid according to the flow (the vector field). The bended grid is then sampled at the original grid locations. Thus, the output is a version of the noise, that is displaced according to the flow.

== Principle ==

The core idea is to create a noise texture on a regular grid and then bend this grid according to the flow (the vector field). The bendedbent grid is then sampled at the original grid locations. Thus, the output is a version of the noise, that is displaced according to the flow.

[[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=Multiscalebook Image Based Flow Visualization|journalseries=Proceedings of SPIE’sthe ConferenceSPIE on|volume=6060 Visualization|pages=606001 and Data Analysis (VDA) 2006|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 |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 ==

{{reflist}}

==LinksExternal links==

* [http://www.win.tue.nl/~vanwijk/ibfv/ Website of Jarke van Wijk with demo software and pictures]

[[Category:Scientific visualization]]

[[Category:Numerical function drawing]]

[[Category:ScientificFluid modelingdynamics]]

[[Category:Visualization (graphic)]]