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Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Published on: November 2, 2012

Perceptual learning of second order cues for layer decomposition.

Dicle N Dövencioğlu1, Andrew E Welchman, Andrew J Schofield

  • 1School of Psychology, University of Birmingham, Edgbaston, Birmingham, UK.

Vision Research
|December 4, 2012
PubMed
Summary

Training observers improved their ability to distinguish surface reflectance from illumination changes using second-order visual cues. This learning, crucial for visual perception, transferred partially to new stimuli, suggesting tuned mechanisms.

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Area of Science:

  • Visual Perception
  • Computational Neuroscience
  • Image Processing

Background:

  • Luminance variations in images can stem from changes in surface reflectance or illumination, posing an ambiguity for visual systems.
  • Layer decomposition, separating reflectance from illumination, relies on secondary cues like color and texture.
  • Second-order visual cues, specifically local luminance amplitude (AM) in relation to luminance modulation (LM), play a role in this process.

Purpose of the Study:

  • To investigate how training affects the ability to perform layer decomposition using second-order cues.
  • To determine if learning-induced improvements in layer decomposition occur at a perceptual level.
  • To examine the specificity of learning by testing for transfer to novel stimuli.

Main Methods:

  • Observers were trained for five days to discriminate components of plaid stimuli with varying luminance modulation (LM) and local luminance amplitude (AM) phase relationships.
  • Performance was assessed by measuring the required strength of the AM signal for discrimination after training.
  • Transfer of learning was evaluated using stimuli with altered spatial frequencies, orientations, and plaid angles.

Main Results:

  • Significant learning occurred, indicated by a dramatic reduction in the required AM signal strength for plaid component discrimination after training.
  • Learning demonstrated partial transfer to stimuli with different spatial frequencies, orientations, and angles.
  • The limited transfer suggests that training tunes specific visual mechanisms rather than inducing general interpretative changes.

Conclusions:

  • The ability to use second-order cues for layer decomposition can be significantly enhanced through training.
  • The partial transfer of learning indicates that the underlying mechanisms are specific and tuned, not broadly generalized.
  • These findings suggest that the visual mechanisms supporting layer decomposition via second-order cues are relatively early in the visual processing stream and not inherently slow.