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dc.contributor.authorBigioi, Petronel
dc.contributor.authorZaharia, Corneliu
dc.contributor.authorCorcoran, Peter
dc.date.accessioned2013-08-19T14:27:57Z
dc.date.available2013-08-19T14:27:57Z
dc.date.issued2012
dc.identifier.citationBigioi, P.,Zaharia, C.,Corcoran, P. (2012) Advanced hardware real time face detector Consumer Electronics, IEEE International Conference onen_US
dc.identifier.urihttp://hdl.handle.net/10379/3622
dc.description.abstractFace detection and tracking can be considered an enabling technology for a range of image enhancements technologies, authentications and advanced UIs in handheld devices. Several modes of implementing a face detection algorithm in hardware are explored and a hybrid approach is found to offer the best trade-off between physical hardware resources and computational software resources. This uses simpler weak classifier templates in hardware, using these to determine the more complex set of classifiers which are eventually applied by the software engine.en_US
dc.formatapplication/pdfen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofConsumer Electronics, IEEE International Conference onen
dc.subjectFace recognitionen_US
dc.subjectImage classificationen_US
dc.subjectImage enhancementen_US
dc.subjectObject detectionen_US
dc.subjectObject trackingen_US
dc.titleAdvanced hardware real time face detectoren_US
dc.typeConference Paperen_US
dc.date.updated2013-08-09T14:06:09Z
dc.local.publishedsourcehttp://dx.doi.org/10.1109/ICCE.2012.6161958en_US
dc.description.peer-reviewednon-peer-reviewed
dc.contributor.funder|~|
dc.internal.rssid2809332
dc.local.contactPeter Corcoran, Electrical & Electronic Eng, Room 3041, Engineering Building, Nui Galway. 2764 Email: peter.corcoran@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionSUBMITTED
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