A Spatial Frequency Analysis Model for Predicting Human Performance at Visual Pattern Matching Tasks,

Abstract

A model for simulating human performance in visual pattern matching tasks is presented. The model is based on evidence of spatial frequency processing in the visual system, and on the hypothesis that shape recognition is determined only by the low spatial frequency harmonics of the image. Two psychophysical pattern matching experiments are described that demonstrate a clear functional relationship between the 'similarity' of two patterns as judged by human observers and the Euclidean distance between spatially filtered Fourier transforms of the patterns. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1977
Accession Number
ADA041649

Entities

People

  • Mark W. Cannon Jr.

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Algorithms
  • Bandwidth
  • Biomedical Research
  • Cognition
  • Computers
  • Cross Correlation
  • Cybernetics
  • Filters
  • Frequency
  • Information Processing
  • Motor Skills
  • Pattern Recognition
  • Physiology
  • Recognition
  • Security

Fields of Study

  • Biology
  • Psychology

Readers

  • Image Processing and Computer Vision.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.