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Image-based flow visualization

Image-based flow visualization
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 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

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 bent 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. 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.

References

References

  1. van Wijk, Jack. (2002). "Image Based Flow Visualization". Proceedings ACM SIGGRAPH 2002, San Antonio, Texas.
  2. (September 2024). "Visualization and Data Analysis 2006".
Wikipedia Source

This article was imported from Wikipedia and is available under the Creative Commons Attribution-ShareAlike 4.0 License. Content has been adapted to SurfDoc format. Original contributors can be found on the article history page.

scientific-visualization numerical-function-drawing fluid-dynamics
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