Introduction to Face Detection Using Eigenfaces

The security of information and physical property has been one of the problems of modern days. Face recognition has gained importance in security and information access. In this paper appearance based algorithm eigenfaces are explained in detail. PCA is used in extracting the relevant information in human faces. In this method the eigenvectors of the set of training images are calculated which defines the face space. Face images are projected on to the face space which encodes the variation among known face images. These encoded variations are later used for recognition process. The new face to be matched is projected on the face space, which generates meaningful variations matching is done when variation difference between new image and training images is below some threshold value