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dc.contributor.advisorO'Sullivan, Carol
dc.contributor.authorPeters, Christopher
dc.date.accessioned2019-05-01T15:08:44Z
dc.date.available2019-05-01T15:08:44Z
dc.date.issued2004
dc.identifier.citationChristopher Peters, 'Bottom-up visual attention for autonomous virtual human animation', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2004, pp 199
dc.identifier.otherTHESIS 7518
dc.description.abstractAnimating autonomous virtual humans in a plausible manner is a difficult proposition. As social creatures, humans must be able to interact with each other from an early age and communication is often subject to many nuances. Humans therefore need to be relatively adept at judging the behaviour of others in order to be socially cohesive.
dc.format1 volume
dc.language.isoen
dc.publisherTrinity College (Dublin, Ireland). School of Computer Science & Statistics
dc.relation.isversionofhttp://stella.catalogue.tcd.ie/iii/encore/record/C__Rb12424337
dc.subjectComputer Science, Ph.D.
dc.subjectPh.D. Trinity College Dublin
dc.titleBottom-up visual attention for autonomous virtual human animation
dc.typethesis
dc.type.supercollectionthesis_dissertations
dc.type.supercollectionrefereed_publications
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctor of Philosophy (Ph.D.)
dc.rights.ecaccessrightsopenAccess
dc.format.extentpaginationpp 199
dc.description.noteTARA (Trinity's Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie
dc.identifier.urihttp://hdl.handle.net/2262/86582


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