Name
Abstract | ||
|---|---|---|
The Virtual Camera Composition (VCC) problem consists in automatically positioning a camera in a virtual world, such that the resulting image satisfies a set of visual cinematographic properties [3]. In this paper, we propose an approach to VCC based on Particle Swarm Optimization[5]. We show, in realistic situations, that our approach outperforms a discretized, exhaustive search method similar to a proposal by Bares et al [1]. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-85412-8_12 | Smart Graphics |
Keywords | Field | DocType |
virtual world,realistic situation,particle swarm optimization,virtual camera composition,resulting image,exhaustive search method,visual cinematographic property,exhaustive search,satisfiability,virtual worlds | Particle swarm optimization,Discretization,Computer vision,Brute-force search,Computer science,Virtual camera,Camera orientation,Multi-swarm optimization,Artificial intelligence | Conference |
Volume | ISSN | Citations |
5166 | 0302-9743 | 16 |
PageRank | References | Authors |
0.90 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paolo Burelli | 1 | 78 | 9.24 |
| Luca Di Gaspero | 2 | 679 | 43.61 |
| Andrea Ermetici | 3 | 18 | 1.28 |
| Roberto Ranon | 4 | 392 | 33.19 |