Face Classification via Sparse Approximation
dc.authorid | Battini Sonmez, Elena/0000-0003-0090-984X|Varlı, Songül/0000-0002-1786-6869 | |
dc.authorwosid | Battini Sonmez, Elena/AAZ-6358-2021 | |
dc.authorwosid | Albayrak, Songül/G-5329-2011 | |
dc.authorwosid | Varlı, Songül/AAZ-4672-2020 | |
dc.contributor.author | Sonmez, Elena Battini | |
dc.contributor.author | Sankur, Bulent | |
dc.contributor.author | Albayrak, Songul | |
dc.date.accessioned | 2024-07-18T20:52:23Z | |
dc.date.available | 2024-07-18T20:52:23Z | |
dc.date.issued | 2011 | |
dc.department | İstanbul Bilgi Üniversitesi | en_US |
dc.description | COST 2101 European Workshop on Biometrics and Identity Management (BioID) -- MAR 08-10, 2011 -- Brandenburg Univ Appl Sci, Brandenburg, GERMANY | en_US |
dc.description.abstract | We address the problem of 2D face classification under adverse conditions. Faces are difficult to recognize since they are highly variable due to such factors as illumination, expression, pose, occlusion and resolution. We investigate the potential of a method where the face recognition problem is cast as a sparse approximation. The sparse approximation provides a significant amount of robustness beneficial in mitigating various adverse effects. The study is conducted experimentally using the Extended Yale Face B database and the results are compared against the Fisher classifier benchmark. | en_US |
dc.description.sponsorship | COST Action 2101,European Sci Fdn (ESF),Silke Reifgerste,Brandenburg Univ Appl Sci,Otto von Guericke Univ Magdeburg | en_US |
dc.identifier.endpage | + | en_US |
dc.identifier.isbn | 978-3-642-19529-7 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.issn | 1611-3349 | |
dc.identifier.scopus | 2-s2.0-79952942315 | en_US |
dc.identifier.scopusquality | Q3 | en_US |
dc.identifier.startpage | 168 | en_US |
dc.identifier.uri | https://hdl.handle.net/11411/8652 | |
dc.identifier.volume | 6583 | en_US |
dc.identifier.wos | WOS:000296894100016 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer-Verlag Berlin | en_US |
dc.relation.ispartof | Biometrics and Id Management | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Face Classification | en_US |
dc.subject | Sparse Approximation | en_US |
dc.subject | Fisher Classifier | en_US |
dc.subject | Recognition | en_US |
dc.subject | Robust | en_US |
dc.subject | Representation | en_US |
dc.subject | Illumination | en_US |
dc.title | Face Classification via Sparse Approximation | |
dc.type | Conference Object |