Face Recognition from Frontal and Pro le Views

This paper presents a unique face recognition sys tem which considers information from both frontal and pro le view images This system represents the rst step toward the development of a face recogni tion solution for the intensity image domain based on a D context In the current system we construct a D face centered model from the two independent images Geometric information is used for view nor malization 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 impossi ble matches from further consideration The system has been tested using subjects from the FERET program database and has shown excellent results For example we consider the problem of identifying the of the database which is most similar to the target The correct match is included in this list of the time in the system s fully automated mode and of the time in the manually assisted mode The International Workshop on Automatic Face and Gesture Recognition Zurich June