Object Recognition Using Range Images.

Abstract

This study involved forming synthetic range images and investigating correlation as a target recognition technique. The synthetic range images were formed with a computer program, which models the laser scanning of an air-to-ground missile. With this range imaging program, a model of a Russian T-72 tank was formed, which was subsequently used in investigating image correlation. In the investigation into image correlation, the effects of background clutter and target rotation on a range image's correlation coefficient were examined, as well as possible methods of correcting for these effects. Other factors affecting the correlation coefficient that were considered were pixel dropouts and the beam spot size of the laser. Pixel dropouts were shown to be detrimental to a range image's correlation coefficient, but could be corrected by using a 'median replacement' technique. Also shown was that for a certain of 'on target' beam diameters, as the diameter of the scanning laser beam increased, so did the correlation's discerning ability.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1985
Accession Number
ADA167148

Entities

People

  • Jeffrey W. Grantham

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Artificial Intelligence
  • Computer Programs
  • Computer Vision
  • Coordinate Systems
  • Correlation Techniques
  • Detectors
  • Electrical Engineering
  • Engineering
  • Geometry
  • Image Processing
  • Object Recognition
  • Pattern Recognition
  • Target Recognition
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Directed Energy