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Olfactory Context Dependent Memory: Direct Presentation of Odorants
04:47

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Published on: September 18, 2018

Learning different light prior distributions for different contexts.

Iona S Kerrigan1, Wendy J Adams

  • 1Psychology, University of Southampton, Southampton SO17 1BJ, UK. i.s.kerrigan@soton.ac.uk

Cognition
|February 5, 2013
PubMed
Summary
This summary is machine-generated.

People can learn to adjust their perception of object shape based on lighting cues. Visual-haptic training helps observers associate specific illumination conditions with contexts, improving shape-from-shading accuracy.

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Area of Science:

  • Computer Vision
  • Human Perception
  • Cognitive Science

Background:

  • Shading patterns in images provide crucial cues for inferring object shape.
  • Human shape-from-shading abilities are robust despite ambiguous illumination, shape, and reflectance combinations.
  • Environmental and temporal variations in illumination pose challenges for consistent shape perception.

Purpose of the Study:

  • To investigate whether humans can learn to associate specific illumination conditions with particular contexts.
  • To determine if learned associations aid shape-from-shading perception.
  • To explore the impact of training methodology (intermingled vs. blocked) on learning illumination-context associations.

Main Methods:

  • Participants underwent several hours of visual-haptic training.
  • Observers were exposed to distinct lighting conditions (red and green light) associated with different contexts.
  • Shape estimates were recorded to assess the influence of learned illumination expectations.

Main Results:

  • Observers successfully modified their shape estimates based on the expected illumination of the context.
  • Learned associations included perceiving red light as overhead and green light as shifted by 10 degrees.
  • Intermingled training of red and green light contexts led to greater learning than sequentially blocked training.

Conclusions:

  • Humans can learn to associate contextual cues with specific illumination conditions to enhance shape-from-shading.
  • Context-dependent illumination learning improves the accuracy of perceived object shape.
  • Interleaved training paradigms are more effective for learning these visual associations.