Principal Component Analysis in the Eigenface Technique for Facial Recognition
Kevin J. Huang · Trinity College Digital Repository (Trinity College, Hartford CT) · 2012
Several facial recognition algorithms have been explored in the past few decades. Progress has been made towards recognition under varying lighting conditions, poses and facial expressions. In a general context, a facial recognition algorithm and its implementation can be considered as a system. The input to the facial recognition system is a two dimensional image, while the system distinguishes the input image as a user’s face from a pre-determined library of faces. Finally, the output is the discerned face image. In this project, we will examine one particular system: the Eigenface technique.