The Use of Distributed Associative Memories for Surmounting Problems of Scaling and Orientation in Automated Pattern Recognition.

Abstract

The area of research to which this study relates is that of pattern recognition and in particular, the automated recognition of objects irrespective of the location, orientation and magnitude of such objects in the field of view of the observer. It is shown that a recently developed Associative Memory technique is suitable for use in a hierarchial mode together with an automated computer video system, for detecting, tracking and subsequently recognizing an object irrespective of variations in location, size and orientation. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 10, 1978
Accession Number
ADA052341

Entities

People

  • W. L. Schultz
  • Yoh-han Pao

Organizations

  • Case Western Reserve University

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Cameras
  • Computers
  • Content Addressable Memory
  • Data Acquisition
  • Digital Data
  • Electrical Engineering
  • Magnetic Disks
  • Parallel Computing
  • Parallel Processing
  • Pattern Recognition
  • Recognition
  • Signal Processing
  • Standards
  • Television Cameras
  • Theses

Readers

  • Artificial Intelligence
  • Computer Vision.
  • Theoretical Analysis.

Technology Areas

  • AI & ML