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In ], '''image-based flow visualization''' is a technique proposed by ] <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 ]. Compared with classical Integration like techniques it has the advantage of producing a whole image at every step. It is a method from the ] family. In ], '''image-based flow visualization''' is a technique proposed by ] <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 ]. Compared with classical Integration like techniques it has the advantage of producing a whole image at every step. It is a method from the ] family.



Revision as of 16:17, 13 November 2011

In scientific visualization, image-based flow visualization is a technique proposed by Jarke van Wijk 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.

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.

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 or almost real-time simulation of 2D flow data.

References

  1. van Wijk, Jack (2002). "Image Based Flow Visualization" (PDF). Proceedings ACM SIGGRAPH 2002, San Antonio, Texas.
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