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Author Faltemier, T.C. ♦ Bowyer, K.W. ♦ Flynn, P.J.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2007
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods ♦ Natural sciences & mathematics ♦ Life sciences; biology ♦ Biochemistry
Subject Keyword Image sensors ♦ Computer science ♦ Biometrics ♦ Image recognition ♦ Iterative closest point algorithm ♦ Face recognition ♦ Iterative algorithms ♦ Linear discriminant analysis ♦ Probes ♦ Principal component analysis
Abstract One of most challenging problems in 3D face recognition is matching images containing different expressions in the probe and gallery sets. Face images containing the same expression can be accurately identified; however, realistic biometric scenarios are not guaranteed to have the same expression in both probe and gallery. In this paper we examine a multi-instance enrollment representation as a means to improve the performance of a 3D face recognition system. Experiments are conducted on the ND-2006 data corpus which is the largest set of 3D face scans available to the research community. In addition, we show that using a gallery comprised of multiple expressions offers consistently higher performance than using any single expression.
Description Author affiliation: Univ. of Notre Dame, Notre Dame (Faltemier, T.C.; Bowyer, K.W.; Flynn, P.J.)
ISBN 9781424415960
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2007-09-27
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 10.40 MB
Page Count 6
Starting Page 1
Ending Page 6


Source: IEEE Xplore Digital Library