Automatically generating computer animations is a challenging and complex problem with applications in games and film production. In this paper, we investigate how to translate a shot list for a virtual scene into a series of virtual camera configurations — i.e automatically controlling the virtual camera. We approach this problem by modelling it as a dynamic multi-objective optimisation problem and show how this metaphor allows a much richer expressiveness than a classical single objective approach. Finally, we showcase the application of a multiobjective evolutionary algorithm to generate a shot for a sample game replay and we analyse the results.
CITATION STYLE
Burelli, P., & Preuss, M. (2014). Automatic camera control: A dynamic multi-objective perspective. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8602, pp. 361–373). Springer Verlag. https://doi.org/10.1007/978-3-662-45523-4_30
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