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Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues
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Viewpoint adaptation revealed potential representational differences between 2D images and 3D objects.

Zhiqing Deng1, Jie Gao1, Toni Li2

  • 1Center for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Health and Cognitive Science, and the School of Psychology, South China Normal University, Guangzhou, Guangdong Province 510631, China.

Cognition
|August 10, 2024
PubMed
Summary
This summary is machine-generated.

Cognitive science research often uses 2D images instead of real 3D objects. This study found that three-dimensional (3D) stimuli, unlike 2D images, create broader neural tuning, leading to stronger viewpoint aftereffects in visual perception.

Keywords:
3D real objectsAdaptation aftereffectsComputational modelStereopsisTuning curveViewpoint adaptation

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Area of Science:

  • Cognitive Science
  • Neuroscience
  • Visual Perception

Background:

  • Cognitive science frequently uses 2D images as stimuli for experimental control, potentially differing from real-world 3D object processing.
  • Differences in processing real objects versus images may involve spatial location and action perception (dorsal stream) and are less understood for ventral stream processing.
  • While actability is a known difference, the role of three-dimensionality (3D) and binocular disparity in object perception remains under-investigated.

Purpose of the Study:

  • To investigate how the dimensionality of stimuli (2D images vs. 3D objects/stereoscopic images) affects viewpoint adaptation.
  • To determine if 3D stimuli elicit stronger viewpoint aftereffects compared to 2D stimuli.
  • To explore the neural representation differences between 2D and 3D stimuli.

Main Methods:

  • Comparison of viewpoint adaptation effects using 2D images versus 3D stimuli (real objects or stereoscopic images).
  • Stimuli included faces and kettles presented in both 2D (no binocular disparity) and 3D (with binocular disparity) formats.
  • A computational model was used to analyze the neural tuning differences.

Main Results:

  • Adaptation to 3D stimuli resulted in significantly stronger viewpoint aftereffects than adaptation to 2D images.
  • This effect was observed for both faces and kettles when the adapting orientation was rightward.
  • A computational model indicated that 3D stimuli are associated with broader viewpoint tuning than 2D stimuli.

Conclusions:

  • Three-dimensional (3D) objects and their realistic simulations elicit more broadly tuned neural representations compared to 2D images.
  • This broader neural tuning for 3D stimuli may underlie the observed stronger viewpoint aftereffects and contribute to viewpoint invariance.
  • Findings bridge the understanding of neural processing for visual images versus real-world objects.