Extended Gaussian Images,

Abstract

This is a primer on extended Gaussian Images. Extended Gaussian Images are useful for representing the shapes of surfaces. They can be computed easily from: (1) Needle maps obtained using photometric stereo, or (2) Depth maps generated by ranging devices or stereo. Importantly, they can also be determined simply from geometric models of the objects. Extended Gaussian images can be of use in at least two of the tasks facing a machine vision system: (1) Recognition, and (2) Determining the attitude in space of an object. Here, the extended Gaussian image is defined and some of its properties discussed. Here, the extended Gaussian image is defined and some of its properties discussed. An elaboration of non-convex objects is presented and several examples are shown. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1983
Accession Number
ADA135747

Entities

People

  • B. K. P. Horn

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer Vision
  • Differential Equations
  • Equations
  • Geometry
  • Grids
  • Latitude
  • Longitude
  • Massachusetts
  • Military Research
  • Object Recognition
  • Orientation (Direction)
  • Recognition
  • Security
  • Shape
  • Translations
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Calculus or Mathematical Analysis
  • Systems Analysis and Design
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • Space
  • Space - Space Objects