Facial expression recognition based on compressive sensing and pyramid processing

Basit Öğe Kaydı
dc.contributor.authorEleyan, Alaa
dc.contributor.authorAshir, Abubakar M.
dc.date.accessioned2020-03-26T19:41:46Z
dc.date.available2020-03-26T19:41:46Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this paper, a new approach has been proposed for improved facial expression recognition. The new approach is inspired by the compressive sensing theory and multi -resolution approach to facial expression problems. Initially, each image sample is decomposed into desired levels of its pyramids at different sizes and resolutions. At each level of the pyramid, features are extracted using a measurement matrix based on compressive sensing theory. These measurements are concatenated together to form a feature vector for the original image. The results obtained from the approach using three distance measurement classifiers (Manhattan, Euclidean, Cosine) and support vector machine are impressive and outperforms most of its counterpart algorithms in the literature using the same databases and settings.en_US
dc.identifier.doi10.5505/pajes.2016.43402en_US
dc.identifier.endpage531en_US
dc.identifier.issn1300-7009en_US
dc.identifier.issn2147-5881en_US
dc.identifier.issue5en_US
dc.identifier.pmid#YOKen_US
dc.identifier.startpage527en_US
dc.identifier.urihttps://dx.doi.org/10.5505/pajes.2016.43402
dc.identifier.urihttps://hdl.handle.net/20.500.12395/35123
dc.identifier.volume23en_US
dc.identifier.wosWOS:000443170500007en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherPAMUKKALE UNIVen_US
dc.relation.ispartofPAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISIen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectFacial Expression recognitionen_US
dc.subjectCompressive sensing Image pyramiden_US
dc.titleFacial expression recognition based on compressive sensing and pyramid processingen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
TR-Dizin İndeksli Yayınlar Koleksiyonu