End of Year Report for Parallel Vision Algorithm Design and Implementation

Abstract

Progress on the Parallel Vision project is reported. Three major accomplishments are noted: the development of the Apply language, the WEB library, and benchmarks of Warp for the DARPA image understanding architecture comparisons. The Apply language development includes a description of the language and its implementation on Warp, the Sun, and the Hughes HBA, together with benchmark comparisons of these very different architectures. The WEB library includes over 100 routines; included in this report are performance numbers of these routines on the CMU Warp machine. Finally, a detailed analysis of the Warp routines implemented for the DARPA Image Understanding benchmarks is given. Keywords: Parallel vision, Edge detection, Apply programming language.

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Document Details

Document Type
Technical Report
Publication Date
Aug 11, 1988
Accession Number
ADA199305

Entities

People

  • Jon A. Webb
  • Takeo Kanade

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Change Detection
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Data Sets
  • Digital Images
  • High Level Languages
  • Image Processing
  • Language
  • Microsecond Time
  • Operating Systems
  • Programming Languages
  • Trees (Data Structures)
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Parallel and Distributed Computing.
  • Technical Research and Report Writing.