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Perception of shape and space across rigid transformations.

Filipp Schmidt1, Patrick Spröte1, Roland W Fleming1

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The brain maintains stable object recognition despite visual changes. Shape and space representations transform with objects, indicating robust inference mechanisms for constancy and transformations.

Keywords:
Causal historyGroupingObject constancyPerceptual organizationShape perceptionTransformations

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Area of Science:

  • Cognitive Neuroscience
  • Visual Perception
  • Psychophysics

Background:

  • Objects undergo transformations affecting appearance, yet stable recognition persists.
  • The brain infers object constancy and causal history despite visual changes.
  • Understanding these perceptual mechanisms is crucial for visual processing research.

Purpose of the Study:

  • To investigate geometric effects of rigid transformations on shape and space representations.
  • To test for object constancy, causal history inference, and spatial transformation.
  • To analyze how rotation and scaling impact shape perception.

Main Methods:

  • A dot-matching task was employed to study shape and space representations.
  • Participants matched dot locations on transformed shapes (rotated, scaled).
  • Analysis focused on correspondence between responses and physical transformations.

Main Results:

  • Shape representations demonstrated remarkable robustness against rotation and scaling.
  • Performance varied with transformation type/amount and contour saliency.
  • Spatial representations transformed with shapes, suggesting an object-centered frame.

Conclusions:

  • The brain exhibits robust mechanisms for inferring shape and spatial constancy.
  • Shape features establish an object-centered reference frame for spatial perception.
  • These findings highlight sophisticated inference of object identity and transformations.