In this paper, we introduce a new system for 3-D face recognition based on the fusion of results from a committee of regions that have been independently matched. Experimental resu...
Timothy C. Faltemier, Kevin W. Bowyer, Patrick J. ...
—Face recognition performance depends upon the input variability as encountered during biometric data capture including occlusion and disguise. The challenge met in this paper is...
Unconstrained face recognition is the problem of deciding if an image pair is showing the same individual or not, without having class specific training material or knowing anythi...
Statistical classification methods can be applied on images of historical manuscript in order to characterize the various kinds of inks used. As these methods do not require destr...
Vasiliki Kokla, Alexandra Psarrou, Vassilis Konsta...
In video-based of face recognition applications, the What-and-Where Fusion Neural Network (WWFNN) has been shown to reduce the generalization error by accumulating a classifier...