A Parallel Model of the Kinetic Depth Effect Using Local Computations.

Abstract

This paper defines a new model for the Kinetic Depth Effect for multi-dot stimuli. The calculation is performed in a cooperative-competitive network, described as a relaxation labeling process (RLP). The process involves a local iterative computation to best meet the constraints indicated by image cues to depth. Given a constraint that prefers inter-Dot distances in 3D to remain constant (local rigidity), the model becomes a local parallel computation of the Ullman incremental rigidity scheme. Several simulations of the model are described, including some where additional cues are combined with the changing dot position cue. Keywords: Human vision, Information extraction.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1986
Accession Number
ADA181945

Entities

People

  • Michael S. Landy

Organizations

  • New York University

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Algorithms
  • Computations
  • Convergence
  • Coordinate Systems
  • Distribution Functions
  • Eye
  • Geometry
  • New York
  • Probability
  • Probability Distributions
  • Psychology
  • Random Variables
  • Relative Motion
  • Simulations
  • Supervised Machine Learning
  • Three Dimensional

Readers

  • Computer Vision.
  • Plasma Physics / Magnetohydrodynamics

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms