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]. ©Springer-Verlag Berlin Heidelberg 2008.
Cite
CITATION STYLE
Burelli, P., Di Gaspero, L., Ermetici, A., & Ranon, R. (2008). Virtual camera composition with particle swarm optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5166 LNCS, pp. 130–141). https://doi.org/10.1007/978-3-540-85412-8_12
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