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Virtual Camera Composition with Particle Swarm Optimization

  • Paolo Burelli
  • Luca Di Gaspero
  • Andrea Ermetici
  • Roberto Ranon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5166)

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].

Keywords

Particle Swarm Optimization Camera Parameter Camera Position Static Scene Camera Orientation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Paolo Burelli
    • 1
  • Luca Di Gaspero
    • 2
  • Andrea Ermetici
    • 1
  • Roberto Ranon
    • 1
  1. 1.HCI LabUniversity of UdineUdineItaly
  2. 2.DIEGMUniversity of UdineUdineItaly

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