Name
Abstract | ||
|---|---|---|
For the visualization of dense line fields, the careful selection of lines to be rendered is a vital aspect. In this paper, we present a global line selection approach that is based on an optimization process. Starting with an initial set of lines that covers the domain, all lines are rendered with a varying opacity, which is subject to the minimization of a bounded-variable least-squares problem. The optimization strives to keep a balance between information presentation and occlusion avoidance. This way, we obtain view-dependent opacities of the line segments, allowing a real-time free navigation while minimizing the danger of missing important structures in the visualization. We compare our technique with existing local and greedy approaches and apply it to data sets in flow visualization, medical imaging, physics, and computer graphics. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2461912.2461930 | ACM Trans. Graph. |
Keywords | Field | DocType |
careful selection,opacity optimization,greedy approach,bounded-variable least-squares problem,global line selection approach,line segment,computer graphics,flow visualization,optimization process,dense line field,scientific visualization | Computer vision,Line segment,Data set,Computer graphics (images),Visualization,Computer science,Minification,Opacity,Artificial intelligence,Computer graphics,Flow visualization,Scientific visualization | Journal |
Volume | Issue | ISSN |
32 | 4 | 0730-0301 |
Citations | PageRank | References |
18 | 0.78 | 25 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tobias Günther | 1 | 123 | 17.58 |
| Christian Rössl | 2 | 449 | 33.65 |
| Holger Theisel | 3 | 1479 | 99.18 |