hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Evaluating liveness by face images and the structure tensor
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0002-4929-1262
2005 (English)In: Proceedings - Fourth IEEE Workshop on Automatic Identification Advanced Technologies, 2005, New York: IEEE Press, 2005, p. 75-80Conference paper, Published paper (Refereed)
Abstract [en]

A technique evaluating liveness in short face image sequences is presented The intended purpose of the proposed system is to assist in a biometric authentication framework, by adding liveness awareness in a non-intrusive manner. Analyzing the trajectories of single parts of a live face reveal valuable information to discriminate it against a spoofed one. The proposed system uses a lightweight novel optical flow, which is especially applicable in face motion estimation based on the structure tensor and a few frames. It uses a model-based local Gabor decomposition and SVM experts for face part detection. An alternative approach for face pan detection using optical flow pattern matching is introduced as well. Experimental results on the proposed system are presented.

Place, publisher, year, edition, pages
New York: IEEE Press, 2005. p. 75-80
Keywords [en]
Face recognition, Image matching, Image sequences, Biometrics, Motion estimation, Tensors
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hh:diva-450DOI: 10.1109/AUTOID.2005.20ISI: 000234337500013Scopus ID: 2-s2.0-33750962696Local ID: 2082/788ISBN: 0-7695-2475-3 OAI: oai:DiVA.org:hh-450DiVA, id: diva2:237629
Conference
4th IEEE Workshop on Automatic Identification Advanced Technologies Location, Buffalo, NY, USA, OCT 17-18, 2005
Note

©2005 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.

Available from: 2007-01-31 Created: 2007-01-31 Last updated: 2018-03-23Bibliographically approved

Open Access in DiVA

FULLTEXT01(349 kB)466 downloads
File information
File name FULLTEXT02.pdfFile size 349 kBChecksum SHA-512
54d49a2f2fd28b38ed30346ff1d52985d021d351b85fdd02f4bab02a23157e55dfce19df2cf9e6189746c523f2eeac17dfa68aa22ebfe34a85891809c9de11a0
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records BETA

Kollreider, KlausFronthaler, HartwigBigun, Josef

Search in DiVA

By author/editor
Kollreider, KlausFronthaler, HartwigBigun, Josef
By organisation
Halmstad Embedded and Intelligent Systems Research (EIS)
Information Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 471 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 378 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf