Virtual Camera Composition with Particle Swarm Optimisation
- ,
- Luca Di Gaspero,
- Andrea Ermetici,
- Roberto Ranon
- University of Udine
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review
Open access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 130 (12 pages)Publication milestones
- Published - 2008
Publication status
Published - 2008
Publisher
Springer, United States, GermanyChapter Number
141Host publication title
International symposium on Smart GraphicsAbstract
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. In this paper, we propose an approach to VCC based on Particle Swarm Optimization. We show, in realistic situations, that our approach outperforms a discretized, exhaustive search method similar to a proposal by Bares et al.
Access to documents
Accepted author manuscript, 1.1 MB