Name
Abstract | ||
|---|---|---|
In art, grouping plays a major role to convey relationships of objects and the organization of scenes. It is separated from style, which only determines how groups are rendered to achieve a visual abstraction of the depicted scene. We present an approach to interactively derive grouping information in a dynamic 3D scene. Our solution is simple and general. The resulting grouping information can be used as an input to any "rendering style". We provide an efficient solution based on an extended mean-shift algorithm customized by user-defined criteria. The resulting system is temporally coherent and real-time. The computational cost is largely determined by the scene's structure rather than by its geometric complexity. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1377980.1377998 | NPAR |
Keywords | Field | DocType |
derive grouping information,visual abstraction,resulting system,efficient solution,dynamic grouping,major role,computational cost,grouping information,user-defined criterion,extended mean-shift algorithm,geometric complexity,real time,fourier transform,assignment problem,least squares,abstraction,mean shift | Least squares,Computer vision,Abstraction,Computer graphics (images),Computer science,Fourier transform,Assignment problem,Artificial intelligence,Mean-shift,Rendering (computer graphics) | Conference |
Citations | PageRank | References |
3 | 0.41 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hedlena Bezerra | 1 | 20 | 1.63 |
| Elmar Eisemann | 2 | 1352 | 91.00 |
| Xavier Décoret | 3 | 332 | 18.74 |
| Joëlle Thollot | 4 | 745 | 37.34 |