Expression-invariant multispectral face recognition: you can smile now!
Ioannis A. Kakadiaris, George Passalis, George D. Toderici, Yunliang Lu, Nikos Karampatziakis, N. Murtuza, Theoharis Theoharis · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
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%.