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Scenario-based score fusion for face recognition at a distance
Universidad Autonoma de Madrid, Spain.
Universidad Autonoma de Madrid, Spain.
Escuela Politecnica Superior, Univ. Autonoma de Madrid, Spain. (ATVS/Biometric Recognition Group)ORCID-id: 0000-0002-1400-346X
Universidad Autonoma de Madrid, Spain.
2010 (engelsk)Inngår i: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010, Piscataway, N.J.: IEEE Press, 2010, s. 67-73Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The effect of different acquisition distances on the performance of face verification is studied. In particular, we evaluate two standard approaches using popular features (DCT and PCA) and matchers (GMM and SVM) under variation in the acquisition distance, as well as their score-level combination. The DCT-GMM-based system is found to be more robust to acquisition distance degradation than the PCASVM-based system. We exploit this fact by introducing an adaptive score fusion scheme based on a novel automatic scenario estimation which is shown to improve our system in uncontrolled environments. © 2010 IEEE.

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Piscataway, N.J.: IEEE Press, 2010. s. 67-73
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URN: urn:nbn:se:hh:diva-21239DOI: 10.1109/CVPRW.2010.5543231Scopus ID: 2-s2.0-77956550512ISBN: 978-142447029-7 OAI: oai:DiVA.org:hh-21239DiVA, id: diva2:589362
Konferanse
IEEE Workshop on Biometrics, in association with CVPR’2010, San Francisco, CA, June 18, 2010
Tilgjengelig fra: 2013-01-17 Laget: 2013-01-17 Sist oppdatert: 2015-09-29bibliografisk kontrollert

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