Literature DB >> 19761309

Holistic crowding of Mooney faces.

Faraz Farzin1, Susan M Rivera, David Whitney.   

Abstract

An object or feature is generally more difficult to identify when other objects are presented nearby, an effect referred to as crowding. Here, we used Mooney faces to examine whether crowding can also occur within and between holistic face representations (C. M. Mooney, 1957). Mooney faces are ideal stimuli for this test because no cues exist to distinguish facial features in a Mooney face; to find any facial feature, such as an eye or a nose, one must first holistically perceive the image as a face. Through a series of six experiments we tested the effect of crowding on Mooney face recognition. Our results demonstrate crowding between and within Mooney faces and fulfill the diagnostic criteria for crowding, including eccentricity dependence and lack of crowding in the fovea, critical flanker spacing consistent with less than half the eccentricity of the target, and inner-outer flanker asymmetry. Further, our results show that recognition of an upright Mooney face is more strongly impaired by upright Mooney face flankers than inverted ones. Taken together, these results suggest crowding can occur selectively between high-level representations of faces and that crowding must occur at multiple levels in the visual system.

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Year:  2009        PMID: 19761309      PMCID: PMC2857385          DOI: 10.1167/9.6.18

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  44 in total

1.  Suppressive and facilitatory spatial interactions in peripheral vision: peripheral crowding is neither size invariant nor simple contrast masking.

Authors:  Dennis M Levi; Srividhya Hariharan; Stanley A Klein
Journal:  J Vis       Date:  2002       Impact factor: 2.240

2.  A study of separation difficulty. Its relationship to visual acuity in normal and amblyopic eyes.

Authors:  J A STUART; H M BURIAN
Journal:  Am J Ophthalmol       Date:  1962-03       Impact factor: 5.258

3.  Are faces processed like words? A diagnostic test for recognition by parts.

Authors:  Marialuisa Martelli; Najib J Majaj; Denis G Pelli
Journal:  J Vis       Date:  2005-02-04       Impact factor: 2.240

4.  Quantifying facial expression recognition across viewing conditions.

Authors:  Deborah Goren; Hugh R Wilson
Journal:  Vision Res       Date:  2005-12-20       Impact factor: 1.886

5.  The timing of perceptual decisions for ambiguous face stimuli in the human ventral visual cortex.

Authors:  Thomas J McKeeff; Frank Tong
Journal:  Cereb Cortex       Date:  2006-04-28       Impact factor: 5.357

6.  What causes the face inversion effect?

Authors:  M J Farah; J W Tanaka; H M Drain
Journal:  J Exp Psychol Hum Percept Perform       Date:  1995-06       Impact factor: 3.332

7.  Modelling of orientation discrimination across the visual field.

Authors:  P Mäkelä; D Whitaker; J Rovamo
Journal:  Vision Res       Date:  1993 Mar-Apr       Impact factor: 1.886

8.  Vernier acuity, crowding and cortical magnification.

Authors:  D M Levi; S A Klein; A P Aitsebaomo
Journal:  Vision Res       Date:  1985       Impact factor: 1.886

9.  Asymmetry of visual interference.

Authors:  W P Banks; D W Larson; W Prinzmetal
Journal:  Percept Psychophys       Date:  1979-06

10.  What Is Special about Face Recognition? Nineteen Experiments on a Person with Visual Object Agnosia and Dyslexia but Normal Face Recognition.

Authors:  M Moscovitch; G Winocur; M Behrmann
Journal:  J Cogn Neurosci       Date:  1997       Impact factor: 3.225

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  47 in total

1.  Resolution of spatial and temporal visual attention in infants with fragile X syndrome.

Authors:  Faraz Farzin; Susan M Rivera; David Whitney
Journal:  Brain       Date:  2011-11       Impact factor: 13.501

2.  The mechanism of word crowding.

Authors:  Deyue Yu; Melanie M U Akau; Susana T L Chung
Journal:  Vision Res       Date:  2011-11-07       Impact factor: 1.886

3.  Foveal input is not required for perception of crowd facial expression.

Authors:  Benjamin A Wolfe; Anna A Kosovicheva; Allison Yamanashi Leib; Katherine Wood; David Whitney
Journal:  J Vis       Date:  2015       Impact factor: 2.240

4.  Visual crowding in V1.

Authors:  Rachel Millin; A Cyrus Arman; Susana T L Chung; Bosco S Tjan
Journal:  Cereb Cortex       Date:  2013-07-05       Impact factor: 5.357

5.  Vision: seeing through the gaps in the crowd.

Authors:  David Whitney
Journal:  Curr Biol       Date:  2009-12-15       Impact factor: 10.834

6.  Object-level visual information gets through the bottleneck of crowding.

Authors:  Jason Fischer; David Whitney
Journal:  J Neurophysiol       Date:  2011-06-15       Impact factor: 2.714

7.  Comparing the visual spans for faces and letters.

Authors:  Yingchen He; Jennifer M Scholz; Rachel Gage; Christopher S Kallie; Tingting Liu; Gordon E Legge
Journal:  J Vis       Date:  2015       Impact factor: 2.240

8.  Crowding, grouping, and object recognition: A matter of appearance.

Authors:  Michael H Herzog; Bilge Sayim; Vitaly Chicherov; Mauro Manassi
Journal:  J Vis       Date:  2015       Impact factor: 2.240

9.  Object crowding.

Authors:  Julian M Wallace; Bosco S Tjan
Journal:  J Vis       Date:  2011-05-25       Impact factor: 2.240

10.  A neurophysiologically plausible population code model for feature integration explains visual crowding.

Authors:  Ronald van den Berg; Jos B T M Roerdink; Frans W Cornelissen
Journal:  PLoS Comput Biol       Date:  2010-01-22       Impact factor: 4.475

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