View source for Publications:Evaluating liveness by face images and the structure tensor

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{{PublicationSetupTemplate|Author=Klaus Kollreider, Hartwig Fronthaler, Josef Bigun
|PID=237629
|Name=Kollreider, Klaus (klakolx) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938));Fronthaler, Hartwig (harfrox) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938));Bigun, Josef (josef) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938))
|Title=Evaluating liveness by face images and the structure tensor
|PublicationType=Conference Paper
|ContentType=Refereegranskat
|Language=eng
|Journal=
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|Volume=
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|HostPublication=Proceedings - Fourth IEEE Workshop on Automatic Identification Advanced Technologies, 2005
|Conference=4th IEEE Workshop on Automatic Identification Advanced Technologies Location, Buffalo, NY, USA, OCT 17-18, 2005
|StartPage=75
|EndPage=80
|Year=2005
|Edition=
|Pages=
|City=New York
|Publisher=IEEE Press
|Series=
|SeriesISSN=
|ISBN=0-7695-2475-3
|Urls=
|ISRN=
|DOI=http://dx.doi.org/10.1109/AUTOID.2005.20
|ISI=000234337500013
|PMID=
|ScopusId=2-s2.0-33750962696
|NBN=urn:nbn:se:hh:diva-450
|LocalId=2082/788
|ArchiveNumber=
|Keywords=Face recognition;Image matching;Image sequences;Biometrics;Motion estimation;Tensors
|Categories=Systemvetenskap, informationssystem och informatik (10202)
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|Notes=<p>©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.</p>
|Abstract=<p>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.</p>
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|CreatedDate=2007-01-31
|PublicationDate=2007-01-31
|LastUpdated=2013-01-24
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:237629}}
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