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Expression-invariant multispectral face recognition: you can smile now!

Authors :
Nikos Karampatziakis
G. Passalis
Najam Murtuza
Theoharis Theoharis
Yunliang Lu
George Toderici
Ioannis A. Kakadiaris
Source :
SPIE Proceedings.
Publication Year :
2006
Publisher :
SPIE, 2006.

Abstract

Face recognition performance has always been affected by the different facial expressions a subject may display. In this paper, we present an extension to the UR3D face recognition algorithm, which enables us to decrease the discrepancy in its performance for datasets from subjects with and without a neutral facial expression, from 15% to 3%.

Details

ISSN :
0277786X
Database :
OpenAIRE
Journal :
SPIE Proceedings
Accession number :
edsair.doi...........012a721d9be0036fc638ab3941cf158a
Full Text :
https://doi.org/10.1117/12.665697