Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/22894
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dc.contributor.authorBurelli, Paolo-
dc.contributor.authorYannakakis, Georgios N.-
dc.date.accessioned2017-10-20T14:28:24Z-
dc.date.available2017-10-20T14:28:24Z-
dc.date.issued2010-
dc.identifier.citationBurelli, P., & Yannakakis, G. N. (2010). Global search for occlusion minimisation in virtual camera control. 2010 IEEE World Congress on Computational Intelligence, Barcelona. 2718-2725.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/22894-
dc.description.abstractThis paper presents a fast and reliable global-search approach to the problem of virtual camera positioning when multiple objects that need to be within the reach of the camera are fully occluded. For this purpose, a comparative analysis of global-search algorithms is presented for the problem of maximising camera visibility across different tasks of varying complexity and within different real-time windows. A custom-designed genetic algorithm is compared to octree-based search and random search and results showcase the advantages of the genetic algorithm proposed with respect to efficiency, robustness and computational effort.en_GB
dc.language.isoenen_GB
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectCamerasen_GB
dc.subjectVideo gamesen_GB
dc.titleGlobal search for occlusion minimisation in virtual camera controlen_GB
dc.typeconferenceObjecten_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 holder.en_GB
dc.bibliographicCitation.conferencename2010 IEEE Congress on Evolutionary Computation (CEC)en_GB
dc.bibliographicCitation.conferenceplaceBarcelona, Spain, 18-23/07/2010en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1109/CEC.2010.5586503-
Appears in Collections:Scholarly Works - InsDG

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