Name
Abstract | ||
|---|---|---|
Artistic illustrations of important structures in fluid flow have a long-standing tradition and are appreciated as clearly perceivable, instructive, but still conveying all relevant information to the viewer. One important illustrative technique for such visualizations are cutaways. Currently cutaways are placed manually or using view-vector based approaches. We propose to optimize the visibility of important target features based on a degree-of-interest (DOI) function. The DOI is specified during interactive visual analysis, e.g., by brushing scatterplots. We show that the problem of placing cutaway boxes optimally is NP-hard in the number of boxes. To overcome this obstacle, we present an intelligent method to compute cutaways. Geometric cutaway objects are positioned using a view-dependent objective function which optimizes the visibility of all features. In order to approximate the optimal solution, we use a Monte Carlo method and exploit temporal coherence in dynamic scenes. Performance-critical parts are implemented on the GPU. The proposed method can be integrated easily into existing rendering frameworks and is general enough to be able to optimize other parameters besides cutaways as well. We evaluate the performance of the algorithm and provide a case study of vorticity visualization in a turbulent flow. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/PacificVis.2012.6183590 | PacificVis |
Keywords | Field | DocType |
temporal coherence,important illustrative technique,scientific illustration,graphics processing unit,view-vector based approach,important target,intelligent method,rendering framework,gpu,degree-of-interest function,np-hard problem,cutaway,intelligent cutaway illustration,graphics processing units,artistic illustration,monte carlo,data analysis,monte carlo method,rendering (computer graphics),visualization technique,interactive visual analysis,view-dependent objective function,computational complexity,fluid flow,turbulent flow,scatterplot brushing,data visualisation,monte carlo methods,geometric cutaway object,flow visualization,important structure,cutaway boxes optimally,view-dependent optimization,vorticity visualization,objective function,interactive visualization | Obstacle,Computer vision,Data visualization,Visibility,Computer graphics (images),Visualization,Computer science,Exploit,Interactive visual analysis,Artificial intelligence,Rendering (computer graphics),Computational complexity theory | Conference |
ISSN | ISBN | Citations |
2165-8765 E-ISBN : 978-1-4673-0865-6 | 978-1-4673-0865-6 | 1 |
PageRank | References | Authors |
0.36 | 18 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stephan Sigg | 1 | 435 | 44.75 |
| Raphael Fuchs | 2 | 202 | 10.73 |
| Robert Carnecky | 3 | 47 | 2.97 |
| Ronald Peikert | 4 | 695 | 35.93 |