Disparity Gradients and Depth Scaling

Abstract

The binocular perception of shape and of depth relations between objects can change considerably if the viewing direction is changed only by a small angle. We explored this effect psychophysically and found a strong depth reduction effect for large disparity gradients. The effect is found to be strongest for horizontally oriented stimuli, and stronger for line stimuli than for points. This depth scaling effect is discussed in a computational framework of stereo based on a Baysian approach which allows to integrate information from different types of matching primitives weighted according to their robustness. Keywords: Stero; Artificial intelligence; Computer vision; Depth scaling; Disparity gradients; Computational vision.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1989
Accession Number
ADA218612

Entities

People

  • Heinrich Buelthoff
  • Manfred Fahle

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Ambiguity
  • Artificial Intelligence
  • Binoculars
  • Computer Vision
  • Disparities
  • Eye
  • Geometry
  • Horizontal Orientation
  • Information Processing
  • Information Systems
  • Observers
  • Orientation (Direction)
  • Perception
  • Shape
  • Standards
  • Three Dimensional
  • Vertical Orientation

Readers

  • Computer Vision.
  • Organizational Psychology.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference