Name
Abstract | ||
|---|---|---|
Flow fields are often represented by a set of static arrows to illustrate scientific vulgarization, documentary film, meteorology, etc. This simple schematic representation lets an observer intuitively interpret the main properties of a flow: its orientation and velocity magnitude. We propose to generate dynamic versions of such representations for 2D unsteady flow fields. Our algorithm smoothly animates arrows along the flow while controlling their density in the domain over time. Several strategies have been combined to lower the unavoidable popping artifacts arising when arrows appear and disappear and to achieve visually pleasing animations. Disturbing arrow rotations in low velocity regions are also handled by continuously morphing arrow glyphs to semi-transparent discs. To substantiate our method, we provide results for synthetic and real velocity field datasets. |
Year | Venue | Field |
|---|---|---|
2012 | CoRR | Glyph,Computer vision,Morphing,Magnitude (mathematics),Arrow,Computer graphics (images),Computer science,Vector field,Flow (psychology),Schematic,Artificial intelligence,Observer (quantum physics) |
DocType | Volume | Citations |
Journal | abs/1205.5204 | 0 |
PageRank | References | Authors |
0.34 | 17 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bruno Jobard | 1 | 396 | 29.58 |
| Nicolas Ray | 2 | 1020 | 52.96 |
| Dmitry Sokolov | 3 | 7 | 7.85 |