arandjelovic-facerecognitionfrom-2004.pdf (367.37 kB)
Face recognition from face motion manifolds using robust kernel resistor-average distance
conference contribution
posted on 2004-01-01, 00:00 authored by Ognjen Arandjelovic, R CipollaIn this work we consider face recognition from face motion manifolds. An information-theoretic approach with Resistor-Average Distance (RAD) as a dissimilarity measure between distributions of face images is proposed. We introduce a kernel-based algorithm that retains the simplicity of the closed-form expression for the RAD between two normal distributions, while allowing for modelling of complex, nonlinear manifolds. Additionally, it is shown how errors in the face registration process can be modelled to significantly improve recognition. Recognition performance of our method is experimentally demonstrated and shown to outperform state-of-the-art algorithms. Recognition rates of 97–100% are consistently achieved on databases of 35– 90 people.
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Event
Computer Vision and Pattern Recognition Workshop (2004 : Washington DC)Pagination
88 - 93Publisher
IEEELocation
Washington DCPlace of publication
Piscataway, New JerseyPublisher DOI
Start date
2004-06-27End date
2004-07-02Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2004, IEEETitle of proceedings
CRPRW 2004 : Proceedings of the Computer Vision and Pattern Recognition Workshop Conference 2004Usage metrics
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