Journal article
A model of attention-guided visual perception and recognition
Vision research (Oxford), v 38(15), pp 2387-2400
1998
PMID: 9798006
Abstract
A model of visual perception and recognition is described. The model contains: (i) a low-level subsystem which performs both a fovea-like transformation and detection of primary features (edges), and (ii) a high-level subsystem which includes separated ‘what’ (sensory memory) and ‘where’ (motor memory) structures. Image recognition occurs during the execution of a ‘behavioral recognition program’ formed during the primary viewing of the image. The recognition program contains both programmed attention window movements (stored in the motor memory) and predicted image fragments (stored in the sensory memory) for each consecutive fixation. The model shows the ability to recognize complex images (e.g. faces) invariantly with respect to shift, rotation and scale.
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Details
- Title
- A model of attention-guided visual perception and recognition
- Creators
- I.A Rybak - E. I. du Pont de Nemours and Co., Central Research Department, Experimental Station E-328/B31, Wilmington, DE 19880-0328, USAV.I Gusakova - A. B. Kogan Research Institute for Neurocybernetics, Rostov State University, 194/1 Stachka Ave., Rostov-on-Don 344090, RussiaA.V Golovan - MBTI, George Mason University, Fairfax, VA 22030, USAL.N Podladchikova - A. B. Kogan Research Institute for Neurocybernetics, Rostov State University, 194/1 Stachka Ave., Rostov-on-Don 344090, RussiaN.A Shevtsova - Institute of Advanced Computer Studies, University of Maryland, College Park, MD 20742, USA
- Publication Details
- Vision research (Oxford), v 38(15), pp 2387-2400
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Neurobiology and Anatomy
- Web of Science ID
- WOS:000074769800011
- Scopus ID
- 2-s2.0-0031829771
- Other Identifier
- 991014877755004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Neurosciences
- Ophthalmology
- Psychology