Learning to recognize faces from examples

Shimon Edelman, Daniel Reisfeld, Yechezkel Yeshurun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationComputer Vision - ECCV 1992 - 2nd European Conference on Computer Vision, Proceedings
EditorsGiulio Sandini
PublisherSpringer Verlag
Pages788-791
Number of pages4
ISBN (Print)9783540554264
DOIs
StatePublished - 1992
Event2nd European Conference on Computer Vision, ECCV 1992 - Santa Margherita Ligure, Italy
Duration: 19 May 199222 May 1992

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume588 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd European Conference on Computer Vision, ECCV 1992
Country/TerritoryItaly
CitySanta Margherita Ligure
Period19/05/9222/05/92

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