Image Invariants Research

Abstract

A uniform algebraic procedure is presented for deriving both epipolar geometry and three-dimensional object structure from general stereo imagery. The procedure assumes central-projection cameras of unknown interior and exterior orientations. The ability to determine corresponding points in the stereo images is assumed, but no prior knowledge of the scene is required. Epipolar geometry and the fundamental matrix are derived by algebraic elimination of the object-variables from the imaging equations. This provides a transfer identified in the new perspective. Next, invariant coordinates for the scene-points are derived by algebraic elimination of the camera parameters from the imaging equations. Identical coordinates are obtained from any stereo images of non-occluding scene points as long as the same set of 5 corresponding points can be identified in both stereo pairs. The procedure extends methods utilizing the cross-rations of determinants and cyclopean vectors, presented in earlier work. A technique for reconstructing the 3-dimensional object from the invariant coordinates is also given.

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Document Details

Document Type
Technical Report
Publication Date
Dec 23, 1997
Accession Number
ADA334845

Entities

People

  • Eamon Barrett
  • Paul M. Payton

Organizations

  • Lockheed Martin Missiles and Space

Tags

Communities of Interest

  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aerial Photography
  • Air Force
  • Artificial Intelligence
  • California
  • Computational Science
  • Computer Science
  • Computer Vision
  • Detectors
  • Digital Elevation Models
  • Geometry
  • Images
  • Military Operations
  • Object Recognition
  • Orientation (Direction)
  • Simulations
  • Space Systems
  • Three Dimensional

Readers

  • Computer Vision.
  • Linear Algebra