September 2011
Volume 11, Issue 11
Vision Sciences Society Annual Meeting Abstract  |   September 2011
Crowding reveals a third stage of object recognition
Author Affiliations
  • Sarah Rosen
    Psychology & Neural Science, New York University
  • Ramakrishna Chakravarthi
    Universite de Toulouse, UPS, Centre de Recherche Cerveau & Cognition, France
    CNRS, CerCo, Toulouse, France
  • Denis G. Pelli
    Psychology & Neural Science, New York University
Journal of Vision September 2011, Vol.11, 1142. doi:
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      Sarah Rosen, Ramakrishna Chakravarthi, Denis G. Pelli; Crowding reveals a third stage of object recognition. Journal of Vision 2011;11(11):1142.

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      © ARVO (1962-2015); The Authors (2016-present)

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How do we recognize objects? This simple everyday task has befuddled scientists for centuries. Research has led to a two-stage theory. First, visual features, such as color and orientation, are detected. Next, these features are combined. Here we ask which features are combined. Crowding is excessive feature combination that occurs when a target object is flanked by other objects, making the target impossible to identify. Exploiting the Gestalt laws, we manipulate proximity, similarity, closure, and regularity (a component of continuity) in a crowding paradigm. We find that decreasing proximity, decreasing similarity, breaking closure, and decreasing regularity each dramatically reduces crowding (or feature combination). The Gestalt laws are simple principles of visual organization that describe how objects group with each other. We find that they also specify which features are passed from the detection stage to the combination stage of object recognition. We conclude that this process is a distinct grouping stage. There are not two, but three stages in object recognition.


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