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Evaluating liveness by face images and the structure tensor
Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID-id: 0000-0002-4929-1262
2005 (engelsk)Inngår i: Proceedings - Fourth IEEE Workshop on Automatic Identification Advanced Technologies, 2005, New York: IEEE Press, 2005, s. 75-80Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
New York: IEEE Press, 2005. s. 75-80
Emneord [en]
Face recognition, Image matching, Image sequences, Biometrics, Motion estimation, Tensors
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-450DOI: 10.1109/AUTOID.2005.20ISI: 000234337500013Scopus ID: 2-s2.0-33750962696Lokal ID: 2082/788ISBN: 0-7695-2475-3 OAI: oai:DiVA.org:hh-450DiVA, id: diva2:237629
Konferanse
4th IEEE Workshop on Automatic Identification Advanced Technologies Location, Buffalo, NY, USA, OCT 17-18, 2005
Merknad

©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.

Tilgjengelig fra: 2007-01-31 Laget: 2007-01-31 Sist oppdatert: 2018-03-23bibliografisk kontrollert

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