Eigenfaces

A computer vision technique for face recognition that uses Principal Component Analysis to represent faces as a linear combination of standardized face components (eigenvectors derived from a training set of face images). Developed by Turk and Pentland in 1991, Eigenfaces was one of the first practical automated face recognition methods and has been widely used in assistive technology applications, such as wearable devices that help people who are blind identify individuals in their environment to facilitate social interaction.