Face recognition using “lateral inhibition” function features

We constructed a universal system for object recognition, which uses preliminary training based on sample images of “objects” and “non-objects.” The images are represented by separate points in multi-dimensional space of features. A recognition system which uses the features space obtained on the ba...

Full description

Saved in:

Bibliographic Details
Published in:	Optical memory & neural networks Vol. 18; no. 1; pp. 1 - 5
Main Authors:	Sokolov, M. E., Tel’nykh, A. A., Koval’chuk, A. V., Bellyustin, N. S., Nuidel’, I. V., Yakhno, V. G.
Format:	Journal Article
Language:	English
Published:	Heidelberg Allerton Press, Inc 01-03-2009 Springer Allerton Press
Subjects:	Complexity Computer Science Computers in experimental physics Exact sciences and technology Fundamental areas of phenomenology (including applications) Image processing Imaging and optical processing Information Storage and Retrieval Instruments, apparatus, components and techniques common to several branches of physics and astronomy Optics Pattern recognition Physics AdaBoost Face recognition neuron-like algorithms recognition system neuron-like filters strong classifier lateral-inhibition type functions Algorithms Image processing Pattern recognition Image classification
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	We constructed a universal system for object recognition, which uses preliminary training based on sample images of “objects” and “non-objects.” The images are represented by separate points in multi-dimensional space of features. A recognition system which uses the features space obtained on the basis of lateral-inhibition type functions is described.
ISSN:	1060-992X 1934-7898
DOI:	10.3103/S1060992X09010019