Model-based approach to study of mechanisms of complex image viewing

被引：4

作者：

Podladchikova L.N. ^{[1
]}

Shaposhnikov D.G. ^{[1
]}

Tikidgji-Hamburyan A.V. ^{[2
]}

Koltunova T.I. ^{[2
]}

Tikidgji-Hamburyan R.A. ^{[1
]}

Gusakova V.I. ^{[1
]}

Golovan A.V. ^{[1
]}

机构：

[1] A.B. Kogan Research Institute for Neurocybernetics, Southern Federal University, Rostov-on-Don 344090

[2] Psychology Department, Southern Federal University, Rostov-on-Don

来源：

Optical Memory and Neural Networks (Information Optics) | 2009年 / 18卷 / 02期

关键词：

Attention; computer simulation; Eye movements; Most informative regions; Psychophysical tests; Viewing scanpath; Visual perception;

D O I：

10.3103/S1060992X09020088

中图分类号：

学科分类号：

摘要：

A model-based approach to study complex image viewing mechanisms and the first results of its implementation are presented. The choice of the most informative regions (MIRs) is performed according to results of psychophysical tests with high-accuracy tracking of eye movements. For three test images, the MIRs were determined as image regions with maximal density of gaze fixations for the all subjects (n = 9). Individual image viewing scanpaths (n = 49) were classified into three basic types (i.e. "viewing", "object-consequent", and "object-returned" scanpaths). Task-related and temporal dynamics of eye movement parameters for the same subjects have been found. Artificial image scanpaths similar to experimental have been obtained by means of gaze attraction function. © Allerton Press, Inc. 2009.

引用

页码：114 / 121

页数：7

共 27 条

[1]

Yarbus A.L., Role of Eye Movements in Vision, (1965)

[2]

Barabanshikov V.A., Oculomotor Structures of the Perception, (1997)

[3]

Didday R.L., Arbib M.A., Eye Movements and Visual Perception: A Two Visual Systems Model, Int. J. Man-Machine Studies, 7, pp. 547-569, (1975)

[4]

Gippenreiter Y.B., Eye Movements in Man Activities, (2004)

[5]

Hayhoe M., Ballard D., Eye Movements in Natural Behavior, Trends in Cognitive Science, 9, 4, pp. 188-193, (2005)

[6]

Henderson J.M., Falk R., Minut S., Dyer F.C., Mahadevan S., Gaze Control for Face Learning and Recognition by Humans and Machines, Technical Report, Michigan State University Eye Movement Laboratory, 4, pp. 1-14, (2000)

[7]

Mast F.W., Kosslyn S.M., Eye Movements During Visual Mental Imagery, Trends in Cognitive Science, 6, (2002)

[8]

Rajashekar U., Van der Linde I., Bolik A.C., Cormack L.K., Foveated Analysis of Image Features at Fixations, Vision Research, 47, pp. 3160-3172, (2007)

[9]

Rehder B., Hoffman A., Eye Tracking and Selective Attention in Category Learning, Cognitive Psychology, 51, pp. 1-41, (2005)

[10]

Velichkovsky B.M., The Successes of Cognitive Science, Scientific American, 12, pp. 87-93, (2003)

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