The Image Understanding Architecture Project

Abstract

This report presents the results of the Image Understanding Architecture (IUA) project for the first year of its two-year contract period. The purpose of the IUA project is to design and construct a next-generation parallel processor that specifically addresses the needs of real-time computer vision applications. The current effort involves the construction of a proof-of- concept, 1/64th scale prototype IUA system (hardware and software) that will serve as the basis of research leading to the design and construction of the next generation IUA system. The work is being performed jointly by the University of Massachusetts at Amherst, and Hughes Research Laboratories in Malibu. Included in this report are a summary of accomplishments during the first year, an overview of the IUA design, a collection of algorithms, a discussion of a vision processing scenario as it is expected to take place on the IUA, a summary of the performance figures for the IUA on the DARPA IU benchmark Exercise, a detailed description of the architecture of the bottom level of the IUA, documentation for the IUA software simulators, and a report of the hardware design efforts at Hughes.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1988
Accession Number
ADA203816

Entities

People

  • Allen R. Hanson
  • Charles C. Weems
  • David B. Shu
  • Edward M. Riseman
  • J. G. Nash
  • Steven P. Levitan

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Advanced Electronics
  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Classification
  • Computer Programming
  • Computer Programs
  • Computer Vision
  • Computers
  • Content Addressable Memory
  • Databases
  • Debugging
  • Digital Signal Processing
  • Electrical Engineering
  • Fabrication
  • Image Processing
  • Information Science
  • Processing Equipment
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Parallel and Distributed Computing.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML