@inproceedings{4432f527ae654382b076ac740096ed3e,
title = "Learning to recognize faces from examples",
abstract = "We describe an implemented system that learns to recognize human faces under varying pose and illumination conditions. The system relies on symmetry operations to detect the eyes and the mouth in a face image, uses the locations of these features to normalize the appearance of the face, performs simple but effective dimensionality reduction by a convolution with a set of Gaussian receptive fields, and subjects the vector of activities of the receptive fields to a Radial Basis Function interpolating classifier. The performance of the system compares favorably with the state of the art in machine recognition of faces.",
author = "Shimon Edelman and Daniel Reisfeld and Yechezkel Yeshurun",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1992.; 2nd European Conference on Computer Vision, ECCV 1992 ; Conference date: 19-05-1992 Through 22-05-1992",
year = "1992",
doi = "10.1007/3-540-55426-2_89",
language = "אנגלית",
isbn = "9783540554264",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "788--791",
editor = "Giulio Sandini",
booktitle = "Computer Vision - ECCV 1992 - 2nd European Conference on Computer Vision, Proceedings",
}