Virtual Camera Composition with Particle Swarm Optimization

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


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].


Particle Swarm Optimization Camera Parameter Camera Position Static Scene Camera Orientation 
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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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