EFFICIENT CLASSIFICATION OF THREE DIMENSIONAL FACE MODELS FOR HUMAN IDENTIFICATION AND OTHER APPLICATIONS

摘要

Three dimensional face recognition via vectorizing samples that are in an enrollment data base. The vectors are formed by comparing faces in the enrollment database with reference faces, and determining differences between the actual faces and the reference faces. Those differences are then formed into an N dimensional vector representing the classified faces. A query face is then similarly vectorized and compared to precomputed vectors indicative of the faces in the database. Another technique is described for updating the reference faces based on an error level.