Image-based flow visualization

From Wikipedia, the free encyclopedia
Jump to: navigation, search
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 [1] 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[edit]

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. 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]

See also[edit]

References[edit]

  1. ^ van Wijk, Jack (2002). "Image Based Flow Visualization". Proceedings ACM SIGGRAPH 2002, San Antonio, Texas. 
  2. ^ "Multiscale Image Based Flow Visualization". Proceedings of SPIE’s Conference on Visualization and Data Analysis (VDA) 2006. 2006. 

External links[edit]