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The binocular computation of visual direction

J S Mansfield1, G E Legge

  • 1Department of Psychology, University of Minnesota, Minneapolis 55455, USA.

Vision Research
|January 1, 1996
PubMed
Summary
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Binocular visual direction is not a simple average. Contrast differences between eyes alter perceived direction, supporting a maximum-likelihood model for combining visual signals and suggesting separate mechanisms for depth and direction perception.

Area of Science:

  • Visual neuroscience
  • Computational vision
  • Perception psychology

Background:

  • Determining single visual direction from differing eye inputs is a fundamental problem in binocular vision.
  • Current models predict visual direction as a geometric average of left and right eye inputs.

Purpose of the Study:

  • To investigate how binocular visual direction is assigned when eyes signal different directions.
  • To test a novel maximum-likelihood model for binocular visual direction computation.
  • To differentiate the mechanisms underlying stereo depth and visual direction perception.

Main Methods:

  • Experiment 1: Manipulated contrast ratios between left and right eye Gabor targets at different stereoscopic depths.
  • Experiment 2: Measured contrast-dependent bias in visual direction and spatial localization uncertainty.

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Main Results:

  • Binocular visual direction was successfully manipulated by altering interocular contrast ratios, contradicting the simple averaging prediction.
  • A new maximum-likelihood model accurately predicted the observed contrast-dependent biases in visual direction.
  • Spatial localization uncertainty in each eye predicted the magnitude of the contrast-dependent bias.

Conclusions:

  • Binocular visual direction is determined by a maximum-likelihood combination of directional signals from each eye.
  • Stereo depth and visual direction perception rely on distinct neural mechanisms with different sensitivities to interocular contrast differences.