1. A computer-implemented face recognition process for identifying a person depicted in an input image, comprising using a computer to perform the following process actions: creating a database of a plurality of model image characterizations, each of which represents the face of a known person that it is desired to identify in the input image as well as the person's face pose, wherein the person's face pose refers to pitch, roll and yaw angles that define the position of the person's head; training a neural network ensemble to identify a person and their face pose from a region which has been extracted from said input image and characterized in a manner similar to the plurality of model images, wherein the network ensemble comprises, a first stage having a plurality of classifiers each of which has input and output units and is dedicated to a particular pose range and outputs a measure of the similarity indicative of the similarity between said characterized input image region and each of said model image characterizations associated with the particular pose range of the classifier, and a fusing neural network as its second stage which combines the outputs of the classifiers to generate an output indicative of the person associated with the characterized input image region and the face pose of that person; and employing the network ensemble to identify the person associated with the characterized input image region and the face pose of that person.