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...

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Bibliographic Details
Published in:Optical memory & neural networks 2009-03, Vol.18 (1), p.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: Article
Language:English
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
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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