This paper presents a unique face recognition system which considers information from both frontal and profile view images. This system represents the first step toward the development of a face recognition solution for the intensity image domain based on a 3D context. In the current system we construct a 3D face centered model from the two independent images. Geometric information is used for view normalization and at the lowest level the comparison is based on general pattern matching techniques. We also discuss the use of geometric information to index the reference database to quickly eliminate impossible matches from further consideration. The system has been tested using 200 subjects from the FERET program database and has shown excellent results. For example, we consider the problem of identifying the 5% of the database which is most similar to the target. The correct match is included in this list 85% of the time in the system's fully automated mode and 98% of the time in the manually assisted mode.
G. Gordon, ``Face Recognition from Frontal and Profile Views, in Proceedings of the International Workshop on Face and Gesture Recognition, (Zurich, Switzerland), pp.47--52, June 1995.