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.]]

In [[Scientific Visualization]] '''Image-Based Flow Visualization''' is a technique proposed by [[Jack van Wijk]] <ref>{{cite journal|last=van Wijk|first=Jack|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 [[Scientificscientific Visualizationvisualization]], '''Imageimage-Basedbased Flowflow Visualizationvisualization''' (or '''visualisation''') is a computer modelling technique proposeddeveloped by [[JackJarke 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 [[Texturetexture advection]] family.

== Principle ==

The main idea is to create a noise texture on a regular grid and then bend this grid according to the flow (the vector field). We then sample the bended grid at the original grid ___location. The output is then an according to the flow displaced version of the noise. To use this for visualization we can for example do this for a few steps and make an animation or also inject some dye on a regular grid and see how this dye got transported away by the flow.

== References Principle==

The maincore idea is to create a noise texture on a regular grid and then bend this grid according to the flow (the vector field). WeThe thenbent samplegrid theis bendedthen gridsampled at the original grid ___locationlocations. TheThus, the output is then an according to the flow displaceda version of the noise., Tothat useis thisdisplaced foraccording visualization we can for example do this for a few steps and make an animation or also inject some dye on a regular grid and see how this dye got transported away byto 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 book |series=Proceedings of the SPIE |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 |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}}

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

==External links==

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

[[Category:Scientific visualization]]

[[Category:Numerical function drawing]]

[[Category:Fluid dynamics]]