The Scaling Problem in Visual Pattern Recognition.

Abstract

The human pattern recognition system has been modeled as a system utilizing a low-pass, spatially-filtered, Fourier transform to represent input patterns and stored prototypes. This model is used to infer the existence of possible mechanisms underlying the scale invariant aspect of the human pattern recognition system. Two hypotheses are suggested: scaling (size normalization) of input patterns, or the storage of multiple-prototypes based on size. Experiments are carried out to distinguish between the two mechanisms. It is concluded that both mechanisms are utilized at different levels within the visual process. A revised model is developed to adequately account for the experimental results. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1976
Accession Number
ADA035290

Entities

People

  • Douglas D. Carpenter

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Algorithms
  • Arrays
  • Brain
  • Cognition
  • Computers
  • Data Analysis
  • Information Processing
  • Pattern Recognition
  • Psychology
  • Reaction Time
  • Recognition
  • Reliability
  • Storage
  • Two Dimensional
  • Visual Cortex

Readers

  • Approximation Theory.
  • Theoretical Analysis.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML