Summary : ” Eigenfaces for Recognition ” ( M . Turk , A . Pentland )

”Eigenfaces for Recognition” seeks to implement a system capable of efficient, simple, and accurate face recognition in a constrained environment (such as a household or an office). The system does not depend on 3-D models or intuitive knowledge of the structure of the face (eyes, nose, mouth). Classification is instead performed using a linear combination of characteristic features (eigenfaces). Previous works cited by Turk et al. fall into three major categories: feature based face recognition, connectionist based face recognition and geometric face recognition. Feature based recognition uses the position, size and relationship of facial features (eyes, nose, mouth) to perform face recognition. The connectionist approach recognizes faces using a general 2-D pattern of the face. Geometric recognition models the 3-D image of the face for recognition.