Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Low resolution face recognition based on support vector data description

Full metadata record
DC Field Value Language
dc.contributor.authorLee, Sang-Woong-
dc.contributor.authorPark, Jooyoung-
dc.contributor.authorLee, Seong-Whan-
dc.date.accessioned2021-09-09T12:14:16Z-
dc.date.available2021-09-09T12:14:16Z-
dc.date.created2021-06-18-
dc.date.issued2006-09-
dc.identifier.issn0031-3203-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/124289-
dc.description.abstractIn the face recognition process, it is important to deal with a facial image of low-resolution. For low-resolution face recognition. we propose a new method of extending the SVDD, which is one of the most well-known support vector learning methods for the one-class problem. The proposed method can recognize a person even with a low-resolution image. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER SCI LTD-
dc.titleLow resolution face recognition based on support vector data description-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Seong-Whan-
dc.identifier.doi10.1016/j.patcog.2006.04.033-
dc.identifier.scopusid2-s2.0-33744995034-
dc.identifier.wosid000239050200022-
dc.identifier.bibliographicCitationPATTERN RECOGNITION, v.39, no.9, pp.1809 - 1812-
dc.relation.isPartOfPATTERN RECOGNITION-
dc.citation.titlePATTERN RECOGNITION-
dc.citation.volume39-
dc.citation.number9-
dc.citation.startPage1809-
dc.citation.endPage1812-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordAuthorsupport vector data description (SVDD)-
dc.subject.keywordAuthorface recognition-
dc.subject.keywordAuthorlow resolution-
dc.subject.keywordAuthorimage enhancement-
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Artificial Intelligence > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Lee, Seong Whan photo

Lee, Seong Whan
인공지능학과
Read more

Altmetrics

Total Views & Downloads

BROWSE