Model of foveal visual preprocessor

Natalia A. Shevtsova; Alain Faure; Arkadi A. Klepatch; Lubov N. Podladchikova; Alexander V. Golovan; Ilya A. Rybak

doi:10.1117/12.222710

3 October 1995 Model of foveal visual preprocessor

Natalia A. Shevtsova, Alain Faure, Arkadi A. Klepatch, Lubov N. Podladchikova, Alexander V. Golovan, Ilya A. Rybak

Proceedings Volume 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling; (1995) https://doi.org/10.1117/12.222710
Event: Photonics East '95, 1995, Philadelphia, PA, United States

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.

Citation Download Citation

Natalia A. Shevtsova, Alain Faure, Arkadi A. Klepatch, Lubov N. Podladchikova, Alexander V. Golovan, and Ilya A. Rybak "Model of foveal visual preprocessor", Proc. SPIE 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, (3 October 1995); https://doi.org/10.1117/12.222710

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available