Virtual Camera Composition with Particle Swarm Optimization

Authors:
Paolo Burelli;Luca Gaspero;Andrea Ermetici;Roberto Ranon
Affiliations:
HCI Lab, University of Udine, Udine, Italy 33100;DIEGM, University of Udine, Udine, Italy 33100;HCI Lab, University of Udine, Udine, Italy 33100;HCI Lab, University of Udine, Udine, Italy 33100
Venue:
SG '08 Proceedings of the 9th international symposium on Smart Graphics
Year:
2008

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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].