Name
Abstract | ||
|---|---|---|
This paper describes a new technique to visualize 2D flow fields with a sparse collection of dots. A cognitive model proposed by Kent Stevens describes how spatially local configurations of dots are processed in parallel by the low-level visual system to perceive orientations throughout the image. We integrate this model into a visualization algorithm that converts a sparse grid of dots into patterns that capture flow orientations in an underlying flow field. We describe how our algorithm supports large flow fields that exceed the capabilities of a display device, and demonstrate how to include properties like direction and velocity in our visualizations. We conclude by applying our technique to 2D slices from a simulated supernova collapse. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1145/1140491.1140511 | APGV |
Keywords | Field | DocType |
sparse grid,flow field,kent stevens,visualization algorithm,large flow field,sparse collection,cognitive model,capture flow orientation,flow visualization,new technique,underlying flow field,perception,orientation,multidimensional,motion,vision,flow,visual system,sparse grids,visualization,color | Computer vision,Computer graphics (images),Visualization,Computer science,Flow (psychology),Display device,Artificial intelligence,Cognitive model,Flow visualization,Sparse grid | Conference |
ISBN | Citations | PageRank |
1-59593-429-4 | 1 | 0.44 |
References | Authors | |
10 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Laura G. Tateosian | 1 | 10 | 1.09 |
| Brent M. Dennis | 2 | 16 | 1.90 |
| Christopher G. Healey | 3 | 861 | 65.46 |