Low-dimensional procedure for the characterization of human faces
Inhaltsverzeichnis
Reference
Sirovich, L., Kirby, M. (1987). Low-dimensional procedure for the characterization of human faces. Journal of the Optical Society of America, 4: 519–524.
DOI
http://dx.doi.org/10.1364/JOSAA.4.000519
Abstract
A method is presented for the representation of (pictures of) faces. Within a specified framework the representation is ideal. This results in the characterization of a face, to within an error bound, by a relatively low-dimensional vector. The method is illustrated in detail by the use of an ensemble of pictures taken for this purpose.
Extended Abstract
Bibtex
Used References
1. K. Fukunaga, Introduction to Statistical Pattern Recognition (Academic, New York, 1972).
2. R. B. Ash, and M. F. Gardner, Topics in Stochastic Processes (Academic, New York, 1975).
3. N. Ahmed, and M. H. Goldstein, Orthogonal Transforms for Digital Signal Processing (Springer-Verlag, New York, 1975).
4. B. B. Mandelbrot, The Fractral Geometry of Nature (Freeman, San Francisco, Calif., 1982).
5. F. Riesz, and B. Sz.-Nagy, Functional Analysis. (Ungar, New York, 1955).
6. R. Bellman, Introduction to Matrix Analysis (McGraw-Hill, New York, 1960).
Links
Full Text
http://www.opticsinfobase.org/josaa/viewmedia.cfm?uri=josaa-4-3-519&seq=0
http://www-flare.cs.ucl.ac.uk/staff/S.Prince/4C75/Sirovich87.pdf (no c&p)
