A Benchmark for Virtual Camera Control

Paolo Burelli, Georgios N. Yannakakis

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)
340 Downloads (Pure)

Abstract

Automatically animating and placing the virtual camera in a dynamic environment is a challenging task. The camera is expected to maximise and maintain a set of properties — i.e. visual composition — while smoothly moving through the environment and avoiding obstacles. A large number of different solutions to the problem have been proposed so far including, for instance, evolutionary techniques, swarm intelligence or ad hoc solutions. However, the large diversity of the solutions and the lack of a common benchmark, made any comparative analysis of the different solutions extremely difficult. For this reason, in this paper, we propose a benchmark for the problem of virtual camera control and we analyse a number of different problems in different virtual environments. Each of these scenarios is described through a set of complexity measures and, as a result of this analysis, a subset of scenarios is selected as the core of the benchmark.
Original languageEnglish
Title of host publicationApplications of Evolutionary Computation : 18th European Conference, EvoApplications 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings
EditorsA. M. Mora, G. Squillero
Number of pages12
PublisherSpringer
Publication date2015
Pages455-467
ISBN (Print)978-3-319-16548-6
ISBN (Electronic)978-3-319-16549-3
DOIs
Publication statusPublished - 2015
Event18th Conference on the Applications of Evolutionary Computation 2015 - Copenhagen, Denmark
Duration: 8 Apr 201510 Apr 2015

Conference

Conference18th Conference on the Applications of Evolutionary Computation 2015
CountryDenmark
CityCopenhagen
Period08/04/201510/04/2015
SeriesLecture Notes in Computer Science (LNCS)
Volume9028
ISSN0302-9743

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