Conference proceeding
Model of foveal visual preprocessor
Proceedings of SPIE, v 2588(1), pp 588-596
03 Oct 1995
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Model of foveal visual preprocessor
- Creators
- Natalia A Shevtsova - Southern Federal UniversityAlain Faure - University of Le HavreArkadi A Klepatch - Southern Federal UniversityLubov N Podladchikova - Southern Federal UniversityAlexander V Golovan - Southern Federal UniversityIlya A Rybak - DuPont (United States)
- Publication Details
- Proceedings of SPIE, v 2588(1), pp 588-596
- Conference
- Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, 14th
- Publisher
- Society of Photo-Optical Instrumentation Engineers (SPIE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Neurobiology and Anatomy
- Web of Science ID
- WOS:A1995BE29J00056
- Other Identifier
- 991019231630204721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Automation & Control Systems
- Computer Science, Artificial Intelligence
- Optics