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Cited by 849

The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.

Visual crowding: a fundamental limit on conscious perception and object recognition

Open access
Whitney, David, Levi, Dennis M.·2011·Trends in Cognitive Sciences
DOI 10.1016/j.tics.2011.02.005
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Abstract

Crowding, the inability to recognize objects in clutter, sets a fundamental limit on conscious visual perception and object recognition throughout most of the visual field. Despite how widespread and essential it is to object recognition, reading, and visually guided action, a solid operational definition of what crowding is has only recently become clear. The goal of this review is to provide a broad-based synthesis of the most recent findings in this area, to define what crowding is and is not, and to set the stage for future work that will extend crowding well beyond low-level vision. Here we define five diagnostic criteria for what counts as crowding, and further describe factors that both escape and break crowding. All of these lead to the conclusion that crowding occurs at multiple stages in the visual hierarchy.

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Metadata

Authors
Whitney, D., & Levi, D. M.
Venue
Trends in Cognitive Sciences
Publisher
Elsevier BV
Published
2011-04
Volume
15
Issue
4
Pages
160-168
ISSN
1364-6613 (ISSN-L)
DOI
10.1016/j.tics.2011.02.005
OpenAlex
W1997513618
Cited by
849
References
91
FWCI
2.98
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Visual crowding: a fundamental limit on conscious perception and object recognition. https://app.cochat.ai/papers/10.1016/j.tics.2011.02.005
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Whitney, D., & Levi, D. M. (2011). Visual crowding: a fundamental limit on conscious perception and object recognition. Trends in Cognitive Sciences. https://doi.org/10.1016/j.tics.2011.02.005

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.