Face recognition using eigenfaces
Turk, M.A.; Pentland, A.P.
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR apos;91., IEEE Computer Society Conference on
Volume , Issue , 3-6 Jun 1991 Page(s):586 - 591
Digital Object Identifier 10.1109/CVPR.1991.139758
Summary:An approach to the detection and identification of human faces is
presented, and a working, near-real-time face recognition system which
tracks a subject's head and then recognizes the person by comparing
characteristics of the face to those of known individuals is described.
This approach treats face recognition as a two-dimensional recognition
problem, taking advantage of the fact that faces are normally upright
and thus may be described by a small set of 2-D characteristic views.
Face images are projected onto a feature space (`face space') that best
encodes the variation among known face images. The face space is defined
by the `eigenfaces', which are the eigenvectors of the set of faces;
they do not necessarily correspond to isolated features such as eyes,
ears, and noses. The framework provides the ability to learn to
recognize new faces in an unsupervised manner
View citation and abstract |
Cart
