Virtual Camera Composition with Particle Swarm Optimization

  • Paolo Burelli
  • Luca Di Gaspero
  • Andrea Ermetici
  • Roberto Ranon
Conference paper

DOI: 10.1007/978-3-540-85412-8_12

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5166)
Cite this paper as:
Burelli P., Di Gaspero L., Ermetici A., Ranon R. (2008) Virtual Camera Composition with Particle Swarm Optimization. In: Butz A., Fisher B., Krüger A., Olivier P., Christie M. (eds) Smart Graphics. SG 2008. Lecture Notes in Computer Science, vol 5166. Springer, Berlin, Heidelberg

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].

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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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