Share Email Print
cover

Proceedings Paper

Model of foveal visual preprocessor
Author(s): Natalia A. Shevtsova; Alain Faure; Arkadi A. Klepatch; Lubov N. Podladchikova; Alexander V. Golovan; Ilya A. Rybak
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A neural network model of the foveal visual preprocessor (FVP) based on a non-uniform representation of the vision field from the center to the periphery has been developed. The properties of foveal neural network and the results of computer simulation and analytical study of the model are considered. The dependence of a sensory tuning of FVP elements on the FVP and moving stimulus parameters is studied. A possible development of a foveal visual sensor on the base of the results obtained is discussed.

Paper Details

Date Published: 3 October 1995
PDF: 9 pages
Proc. SPIE 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, (3 October 1995); doi: 10.1117/12.222710
Show Author Affiliations
Natalia A. Shevtsova, Rostov State Univ. (Russia)
Alain Faure, Univ. of Le Havre (France)
Arkadi A. Klepatch, Rostov State Univ. (Russia)
Lubov N. Podladchikova, Rostov State Univ. (Russia)
Alexander V. Golovan, Rostov State Univ. (Russia)
Ilya A. Rybak, E.I. duPont de Nemours & Co., Inc. (United States)


Published in SPIE Proceedings Vol. 2588:
Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling
David P. Casasent, Editor(s)

© SPIE. Terms of Use
Back to Top