Literature DB >> 12044751

Eye movements in iconic visual search.

Rajesh P N Rao1, Gregory J Zelinsky, Mary M Hayhoe, Dana H Ballard.   

Abstract

Visual cognition depends critically on the moment-to-moment orientation of gaze. To change the gaze to a new location in space, that location must be computed and used by the oculomotor system. One of the most common sources of information for this computation is the visual appearance of an object. A crucial question is: How is the appearance information contained in the photometric array is converted into a target position? This paper proposes a such a model that accomplishes this calculation. The model uses iconic scene representations derived from oriented spatiochromatic filters at multiple scales. Visual search for a target object proceeds in a coarse-to-fine fashion with the target's largest scale filter responses being compared first. Task-relevant target locations are represented as saliency maps which are used to program eye movements. A central feature of the model is that it separates the targeting process, which changes gaze, from the decision process, which extracts information at or near the new gaze point to guide behavior. The model provides a detailed explanation for center-of-gravity saccades that have been observed in many previous experiments. In addition, the model's targeting performance has been compared with the eye movements of human subjects under identical conditions in natural visual search tasks. The results show good agreement both quantitatively (the search paths are strikingly similar) and qualitatively (the fixations of false targets are comparable).

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Mesh:

Year:  2002        PMID: 12044751     DOI: 10.1016/s0042-6989(02)00040-8

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


  44 in total

1.  Search performance with discrete-cell stimulus arrays: filtered naturalistic images and probabilistic markers.

Authors:  Alan R Pinkus; Miriam J Poteet; Allan J Pantle
Journal:  Psychol Res       Date:  2012-04-03

2.  Visually-guided behavior of homonymous hemianopes in a naturalistic task.

Authors:  Tim Martin; Meghan E Riley; Kristin N Kelly; Mary Hayhoe; Krystel R Huxlin
Journal:  Vision Res       Date:  2007-12       Impact factor: 1.886

3.  Attention during sequences of saccades along marked and memorized paths.

Authors:  Timothy M Gersch; Eileen Kowler; Brian S Schnitzer; Barbara Anne Dosher
Journal:  Vision Res       Date:  2008-01-28       Impact factor: 1.886

Review 4.  A theory of eye movements during target acquisition.

Authors:  Gregory J Zelinsky
Journal:  Psychol Rev       Date:  2008-10       Impact factor: 8.934

5.  Searching in the dark: cognitive relevance drives attention in real-world scenes.

Authors:  John M Henderson; George L Malcolm; Charles Schandl
Journal:  Psychon Bull Rev       Date:  2009-10

6.  Modeling Search for People in 900 Scenes: A combined source model of eye guidance.

Authors:  Krista A Ehinger; Barbara Hidalgo-Sotelo; Antonio Torralba; Aude Oliva
Journal:  Vis cogn       Date:  2009-08-01

7.  Visual memory during pauses between successive saccades.

Authors:  Timothy M Gersch; Eileen Kowler; Brian S Schnitzer; Barbara A Dosher
Journal:  J Vis       Date:  2008-12-22       Impact factor: 2.240

Review 8.  Using multidimensional scaling to quantify similarity in visual search and beyond.

Authors:  Michael C Hout; Hayward J Godwin; Gemma Fitzsimmons; Arryn Robbins; Tamaryn Menneer; Stephen D Goldinger
Journal:  Atten Percept Psychophys       Date:  2016-01       Impact factor: 2.199

9.  Influence of low-level stimulus features, task dependent factors, and spatial biases on overt visual attention.

Authors:  Sepp Kollmorgen; Nora Nortmann; Sylvia Schröder; Peter König
Journal:  PLoS Comput Biol       Date:  2010-05-20       Impact factor: 4.475

10.  Evolution and optimality of similar neural mechanisms for perception and action during search.

Authors:  Sheng Zhang; Miguel P Eckstein
Journal:  PLoS Comput Biol       Date:  2010-09-09       Impact factor: 4.475

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