Image-based flow visualization
In scientific visualization, image-based flow visualization is a technique proposed by Jarke van Wijk [1] 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.
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 [2].
References
- ^ van Wijk, Jack (2002). "Image Based Flow Visualization" (PDF). Proceedings ACM SIGGRAPH 2002, San Antonio, Texas.
- ^ "Multiscale Image Based Flow Visualization" (PDF). Proceedings of SPIE’s Conference on Visualization and Data Analysis (VDA) 2006. 2006.