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dc.contributor.authorPreuss, Mike-
dc.contributor.authorBurelli, Paolo-
dc.contributor.authorYannakakis, Georgios N.-
dc.date.accessioned2018-04-23T09:56:00Z-
dc.date.available2018-04-23T09:56:00Z-
dc.date.issued2012-
dc.identifier.citationPreuss, M., Burelli, P., & Yannakakis, G. N. (2012). Diversified virtual camera composition. In C. Di Chio (Es.) Applications of evolutionary computation. EvoApplications 2012. Lecture Notes in Computer Science (pp. 265-274). Berlin, Heidelberg: Springer.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/29467-
dc.description.abstractThe expressive use of virtual cameras and the automatic generation of cinematics within 3D environments shows potential to extend the communicative power of films into games and virtual worlds. In this paper we present a novel solution to the problem of virtual camera composition based on niching and restart evolutionary algorithms that addresses the problem of diversity in shot generation by simultaneously identifying multiple valid camera camera configurations. We asses the performance of the proposed solution against a set of state-of-the-art algorithms in virtual camera optimisation.en_GB
dc.language.isoenen_GB
dc.publisherSpringer, Berlin, Heidelbergen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectVirtual realityen_GB
dc.subjectCamerasen_GB
dc.subjectComputer games -- Design and constructionen_GB
dc.titleDiversified virtual camera compositionen_GB
dc.typebookParten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1007/978-3-642-29178-4_27-
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