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Rapid scene categorization: From coarse peripheral vision to fine central vision.

Audrey Trouilloud1, Louise Kauffmann2, Alexia Roux-Sibilon1

  • 1Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, 38000 Grenoble, France.

Vision Research
|April 8, 2020
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Summary

Peripheral vision offers advantages in rapid scene categorization, even when detailed central information is available. Coarse visual processing in the periphery is more efficient for quickly understanding scenes than fine central details.

Keywords:
Central visionCoarse-to-FinePeripheral visionScene perceptionSpatial frequencies

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Visual Perception

Background:

  • Scene perception relies on processing low spatial frequencies (LSF) for initial scene parsing before high spatial frequencies (HSF) for details.
  • Peripheral vision, despite its lower resolution, is suggested to be sufficient for rapid scene gist recognition.

Purpose of the Study:

  • To investigate the advantage of peripheral vision over central vision in a rapid scene categorization task (indoor vs. outdoor).
  • To explore the interplay between central and peripheral visual information processing during scene understanding.

Main Methods:

  • Utilized large scene photographs divided into central disks and peripheral rings of varying eccentricities.
  • Manipulated the presence of semantically related objects in the central disk.
  • Compared scene categorization performance using Central to Peripheral (CtP) and Peripheral to Central (PtC) visual information sequences.

Main Results:

  • Peripheral rings yielded better categorization than central vision, even when a semantically relevant central object was present.
  • Peripheral to Central (PtC) sequences showed superior performance compared to Central to Peripheral (CtP) sequences.
  • The PtC advantage was not attributed to reduced central object visibility in the CtP sequence.

Conclusions:

  • Coarse visual processing in peripheral vision is more efficient and useful for rapid scene categorization than fine central vision.
  • Scene categorization predominantly follows a coarse-to-fine processing strategy, leveraging peripheral information first.