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dc.contributor.authorAcasandrei, Laurentiu
dc.contributor.authorBarriga, Angel
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2018-10-31T12:33:59Z
dc.date.available2018-10-31T12:33:59Z
dc.date.issued2013
dc.identifier.isbn978-3-88579-606-0
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/17677
dc.description.abstractIn this communication an embedded implementation of the Viola-Jones face detection algorithm targeting low frequency, low memory, and low power consumption, is presented. The design methodology, performance analysis and algorithm optimization in order to accelerate the face detection process, will be described. The resulted implementation is platform independent and achieves on average a 3 times detection speed up.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2013
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-212
dc.titleEmbedded face detection implementationen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages257-264
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationDarmstadt
mci.conference.date04.-06. September 2013


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