Automated Stereophotogrammetry.

Abstract

Using a pattern recognition approach, we have developed a fast program for finding characteristic points and calculating disparities in pairs of photographs. The procedure derives oriented edge-vector graphs from the photos, locates singular points (nodes) in the graphs, and then tests a small window about these points for match. In common with other window-matching approaches, the procedure uses a coarse-to-fine analysis, where the averaged blocks in the coarse resolutions are staggered to simulate a hexagonal array. This enables use to take advantage of the unique topological properties of such arrays. Under a slow image processing environment (GIPSY on VAX 11/785) a dense network of matched points was obtained at the rate of 5 pts/s, compared to 15 pts/s at ETL on a CYBER-730. The ETL procedure required interactive priming with a certain number of initial matches. Keywords: Stereophotogrammetry Pattern recognition, Topological method, Hexagonal scan array.

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Document Details

Document Type
Technical Report
Publication Date
Dec 10, 1987
Accession Number
ADA189617

Entities

People

  • Morton Nadler

Organizations

  • Virginia Tech

Tags

Communities of Interest

  • Cyber
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aerial Photographs
  • Algorithms
  • Availability
  • Classification
  • Coordinate Systems
  • Data Analysis
  • Disparities
  • Gray Scale
  • Identification
  • Image Processing
  • Images
  • Military Research
  • Pattern Recognition
  • Photographs
  • Recognition
  • Security
  • Stereophotogrammetry

Readers

  • Computer Science.
  • Computer Vision.
  • Graph Algorithms and Convex Optimization.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Cyber
  • Cyber - Cryptography