hh.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Automatic Image Quality Assessment with Application in Biometrics
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS).
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS).
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS).ORCID-id: 0000-0002-4929-1262
2006 (Engelska)Ingår i: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition / [ed] Cordelia Schmid, Stefano Soatto, Carlo Tomasi., Los Alamitos, Calif.: IEEE Computer Society, 2006, s. 7-Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

A method using local features to assess the quality of an image, with demonstration in biometrics, is proposed. Recently, image quality awareness has been found to increase recognition rates and to support decisions in multimodal authentication systems significantly. Nevertheless, automatic quality assessment is still an open issue, especially with regard to general tasks. Indicators of perceptual quality like noise, lack of structure, blur, etc. can be retrieved from the orientation tensor of an image, but there are few studies reporting on this. Here we study the orientation tensor with a set of symmetry descriptors, which can be varied according to the application. Allowed classes of local shapes are generically provided by the user but no training or explicit reference information is required. Experimental results are given for fingerprint. Furthermore, we indicate the applicability of the proposed method to face images.

Ort, förlag, år, upplaga, sidor
Los Alamitos, Calif.: IEEE Computer Society, 2006. s. 7-
Serie
IEEE Conference on Computer Vision and Pattern Recognition. Proceedings, ISSN 1063-6919 ; 2006
Nyckelord [en]
Image analysis, Image processing
Nationell ämneskategori
Datorseende och robotik (autonoma system)
Identifikatorer
URN: urn:nbn:se:hh:diva-2171DOI: 10.1109/CVPRW.2006.36Scopus ID: 2-s2.0-33845534164Lokalt ID: 2082/2568ISBN: 0-7695-2646-2 (tryckt)OAI: oai:DiVA.org:hh-2171DiVA, id: diva2:239389
Konferens
2006 Conference on Computer Vision and Pattern Recognition Workshop, New York City, New York, 17-22 June, 2006
Anmärkning

©2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Tillgänglig från: 2008-12-03 Skapad: 2008-12-03 Senast uppdaterad: 2020-05-18Bibliografiskt granskad

Open Access i DiVA

fulltext(410 kB)1343 nedladdningar
Filinformation
Filnamn FULLTEXT01.pdfFilstorlek 410 kBChecksumma SHA-512
3c552435c64abcc3b5887f187ae67aa596f0273fe110a2b601b4ba9bd1ef2bdbfbc3fc9c5b76e627b29be73212796eda27fac7c21fb2758e185c49d589940f09
Typ fulltextMimetyp application/pdf

Övriga länkar

Förlagets fulltextScopus

Person

Fronthaler, HartwigKollreider, KlausBigun, Josef

Sök vidare i DiVA

Av författaren/redaktören
Fronthaler, HartwigKollreider, KlausBigun, Josef
Av organisationen
Halmstad Embedded and Intelligent Systems Research (EIS)
Datorseende och robotik (autonoma system)

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 1343 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

doi
isbn
urn-nbn

Altmetricpoäng

doi
isbn
urn-nbn
Totalt: 322 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf