Literature DB >> 9798006

A model of attention-guided visual perception and recognition.

I A Rybak1, V I Gusakova, A V Golovan, L N Podladchikova, N A Shevtsova.   

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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Year:  1998        PMID: 9798006     DOI: 10.1016/s0042-6989(98)00020-0

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  6 in total

1.  Sensorimotor representation and knowledge-based reasoning for spatial exploration and localisation.

Authors:  C Zetzsche; J Wolter; K Schill
Journal:  Cogn Process       Date:  2008-05-07

2.  Adaptive Gaze Control for Object Detection.

Authors:  G C H E de Croon; E O Postma; H J van den Herik
Journal:  Cognit Comput       Date:  2011-01-15       Impact factor: 5.418

3.  Scan patterns during the processing of facial identity in prosopagnosia.

Authors:  Jason J S Barton; Nathan Radcliffe; Mariya V Cherkasova; Jay A Edelman
Journal:  Exp Brain Res       Date:  2007-03-15       Impact factor: 1.972

4.  The representation of visual depth perception based on the plenoptic function in the retina and its neural computation in visual cortex V1.

Authors:  Zhao Songnian; Zou Qi; Liu Chang; Liu Xuemin; Sun Shousi; Qiu Jun
Journal:  BMC Neurosci       Date:  2014-04-23       Impact factor: 3.288

5.  A new method to measure higher visual functions in an immersive environment.

Authors:  Giuseppe A Zito; René Müri; Urs P Mosimann; Thomas Nyffeler; Tobias Nef
Journal:  Biomed Eng Online       Date:  2014-07-28       Impact factor: 2.819

6.  Data-Driven Multiresolution Camera Using the Foveal Adaptive Pyramid.

Authors:  Martin González; Antonio Sánchez-Pedraza; Rebeca Marfil; Juan A Rodríguez; Antonio Bandera
Journal:  Sensors (Basel)       Date:  2016-11-26       Impact factor: 3.576

  6 in total

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