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Cited by 715Visual perception and processing mechanismsFace Recognition and PerceptionVisual Attention and Saliency Detection

From Blobs to Boundary Edges: Evidence for Time- and Spatial-Scale-Dependent Scene Recognition

Schyns, Philippe G., Oliva, Aude·1994·Psychological Science
DOI 10.1111/j.1467-9280.1994.tb00500.x
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Abstract

In very fast recognition tasks, scenes are identified as fast as isolated objects How can this efficiency be achieved, considering the large number of component objects and interfering factors, such as cast shadows and occlusions? Scene categories tend to have distinct and typical spatial organizations of their major components If human perceptual structures were tuned to extract this information early in processing, a coarse-to-fine process could account for efficient scene recognition A coarse description of the input scene (oriented “blobs” in a particular spatial organization) would initiate recognition before the identity of the objects is processed We report two experiments that contrast the respective roles of coarse and fine information in fast identification of natural scenes The first experiment investigated whether coarse and fine information were used at different stages of processing The second experiment tested whether coarse-to-fine processing accounts for fast scene categorization The data suggest that recognition occurs at both coarse and fine spatial scales By attending first to the coarse scale, the visual system can get a quick and rough estimate of the input to activate scene schemas in memory, attending to fine information allows refinement, or refutation, of the raw estimate

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Crossref · 10.1111/j.1467-9280.1994.tb00500.x

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21 of 21 references verified0 citation errors · 0 not checkable

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  • Our results agree with several theories of visual processing that suggest that an initial feedforward sweep driven by bottom-up inputs builds a base representation that relies on a basic dictionary of generic features before more complex tasks or visual routines can take place through recurrent projections from higher areas.

    “Our results indeed agree with several theories of visual processing that suggest that an initial feedforward sweep driven by bottom-up inputs builds a base representation that relies on a basic dictionary of generic features (11-13, 17, 41) before more complex tasks or visual routines can take place through recurrent projections from higher areas (20, 42, 43, 45).”

    From A feedforward architecture accounts for rapid categorization (2007) · cites this paper as [13]

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Authors
Schyns, P. G., & Oliva, A.
Affiliations
  • Pôle de recherche et d'enseignement supérieur Université de Grenoble (FR)
  • Institut polytechnique de Grenoble (FR)
ORCID
Venue
Psychological Science
Publisher
SAGE Publications
Published
1994-07
Volume
5
Issue
4
Pages
195-200
ISSN
  • 0956-7976 (ISSN-L)
  • 1467-9280
DOI
10.1111/j.1467-9280.1994.tb00500.x
OpenAlex
W2138874178
Cited by
715
References
21
Citations by year
2026: 16 · 2025: 25 · 2024: 26 · 2023: 19 · 2022: 9 · 2021: 29 · 2020: 43 · 2019: 20 · 2018: 26 · 2017: 41 · 2016: 38 · 2015: 27 · 2014: 33 · 2013: 40 · 2012: 22
FWCI
2.58
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations
Psychological Science (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
Keywords
scene classification, coarse-to-fine processing, spatial scale, visual attention, occlusion, cast shadows, spatial organization

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