This website uses cookies to improve your browsing experience and enable video and social networking features. The website does NOT collect your personal information and does NOT use tracking cookies to send you advertising messages. By using this website, you agree to receive these cookies on your device. Further information.

You have declined cookies. This decision can be reversed.

You have allowed cookies to be placed on your computer. This decision can be reversed.

Virtual Camera Composition with Particle Swarm Optimization
Authors: Burelli, P., Di Gaspero L., Ermetici E., Ranon R.
Published in: Proceedings ofSG 2008: 8th international symposium on Smart Graphics, Lecture Notes in Computer Science 5166, Springer Verlag, Berlin Heidelberg, August 2008, pp. 130-141.
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. In this paper, we propose an approach to VCC based on Particle Swarm Optimization. We show, in re- alistic situations, that our approach outperforms a discretized, exhaustive search method similar to a proposal by Bares et al.
Copyright: © Springer-Verlag 2008. The Author may publish his/her contribution on his/her personal Web page provided that he/she creates a link to the above mentioned volume of LNCS at the Springer-Verlag server or to the LNCS series Homepage ( and that together with this electronic version it is clearly pointed out, by prominently adding "©Springer-Verlag", that the copyright for this contribution is held by Springer.