Skip navigation
Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/49193
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCheng, C.-
dc.contributor.authorGerman, Yu. O.-
dc.coverage.spatialМинск-
dc.date.accessioned2022-11-28T13:19:46Z-
dc.date.available2022-11-28T13:19:46Z-
dc.date.issued2022-
dc.identifier.citationCheng, C. Facial expression recognition method on static and dynamic image / C. Cheng, Yu. O. German // Информационные технологии и системы 2022 (ИТС 2022) = Information Technologies and Systems 2022 (ITS 2022) : материалы Международной научной конференции, Минск, 23 ноября 2022 / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: Л. Ю. Шилин [и др.]. – Минск : БГУИР, 2022. – С. 137–138.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/49193-
dc.description.abstractThis article is dedicated to analyse various facial expressions recognition method based on different type of image, which aim at extracting feature on the image. Considering the methodru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectface recognitionru_RU
dc.subjectidentificationru_RU
dc.titleFacial expression recognition method on static and dynamic imageru_RU
dc.typeArticleru_RU
Appears in Collections:ИТС 2022

Files in This Item:
File Description SizeFormat 
Cheng Chengliang.pdf227.12 kBAdobe PDFView/Open
Show simple item record Google Scholar

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.