Research in Appearance Description for Machine Vision.

Abstract

The key barrier to application of machine vision in unconstrained environments is the complexity of image formation in the world and the resultant difficulty of characterizing it concisely. If we could create a general yet concise description of image formation, we would have a vocabulary for discussing the complexity of specific scenes and the assumptions of specific machine vision approaches. In this research, the investigators are attempting to develop such a 'vocabulary' consisting of a mathematical formalism for describing scenes, and examples of programs that utilize this formalism and data that is described using it. The data collection is not only for the purpose of this research contract, but also as a way of archiving and broadcasting high-quality image data from the Calibrated Imaging Laboratory at CMU, that may be useful for other researchers in image understanding.

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Document Details

Document Type
Technical Report
Publication Date
Jan 31, 1996
Accession Number
ADA307662

Entities

People

  • Steve Shafer

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computer Programs
  • Computer Science
  • Computer Vision
  • Illumination
  • Image Segmentation
  • Light Sources
  • Materials
  • Object Recognition
  • Optical Properties
  • Optics
  • Physics
  • Recognition
  • Three Dimensional
  • Transfer Functions
  • Two Dimensional

Readers

  • Artificial Intelligence
  • Computer Vision.
  • Systems Analysis and Design