Methods for Interpreting Perspective Images,

Abstract

A fundamental probelm in computer vision is how, given an image, to determine the orientation of curves and surfaces in space. The problem is difficult because metric properties, such as orientation and length, are not invariant under projection. Under perspective projection (the correct model for most real images) the transform is nonlinear, and therefore hard to invert. Two methods are presented: one finds the orientation of parallel lines and planes by locating vanishing points and vanishing liners; the other determines the orientation of planes by backprojection of angles. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1982
Accession Number
ADP000125

Entities

People

  • Stephen T. Barnard

Organizations

  • SRI International

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Applied Computer Science
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Computational Processes
  • Computer Science
  • Computer Vision
  • Computers
  • Computing Devices
  • Orientation (Direction)
  • Workshops

Readers

  • Fluid Dynamics.
  • Image Processing and Computer Vision.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Space
  • Space - Space Objects