Image-based flow visualization: Difference between revisions

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== 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.
 
[[File:Image-Based Flow Visualization.svg|You can see here how the grid is warped and how the noise image is resampled]]
 
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 ==