Processing of Visual Imagery by an Adaptive Model of the Visual System. Its Performance and Its Significance.

Abstract

From a review of biological evidence and assumptions in the human visual system, a model is derived for the recognition of visual patterns. The abstraction of information under a smearing transformation by adaptive spatial filtering suggests a useful redefinition of the classical pattern recognition approach involving the extraction of distinct features or properties on a feature space. The digital simulation of the model for pattern recognition is described, and the performance of the model on a variety of tasks is reported. The scope of this simulation is through to exceed that for any single pattern recognition model reported elsewhere. The significance of the performance of the model to several Air Force problems is discussed, and recommendations for continued investigations are suggested. (Author)

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1970
Accession Number
AD0717157

Entities

People

  • Oliver H. Tallman

Organizations

  • Air Force Research Laboratory

Tags

DTIC Thesaurus Topics

  • Air Force
  • Extraction
  • Filtration
  • Pattern Recognition
  • Recognition
  • Simulations
  • Spatial Filtering

Readers

  • Mathematical Modeling and Probability Theory.
  • Systems Analysis and Design
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Space