Face Parametrization From Video Using Face Recognition Methods

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but.event.date25.04.2019cs
but.event.titleStudent EEICT 2019cs
dc.contributor.authorLieskovský, Pavol
dc.date.accessioned2020-04-16T07:19:31Z
dc.date.available2020-04-16T07:19:31Z
dc.date.issued2019cs
dc.description.abstractIn the frame of this article, a program has been created that can extract persons face features from the video of an speaking person into a structured time series form suitable for further processing. Such a program utilizes machine learning and face recognition methods and it represents a solution to the general problem of face parametrization from video that can find its applications across many different fields.en
dc.formattextcs
dc.format.extent249-254cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 25st Conference STUDENT EEICT 2019. s. 249-254. ISBN 978-80-214-5735-5cs
dc.identifier.isbn978-80-214-5735-5
dc.identifier.urihttp://hdl.handle.net/11012/186664
dc.language.isoskcs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 25st Conference STUDENT EEICT 2019en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectface recognitionen
dc.subjectface landmark estimationen
dc.subjectface parametrizationen
dc.subjecttime seriesen
dc.titleFace Parametrization From Video Using Face Recognition Methodsen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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