Representation, Modeling, and Recognition of Outdoor Scenes

Abstract

The goal of this project is to advance the state of the art in scene interpretation for autonomous systems that operate in natural terrain. In particular, techniques are being developed for representing knowledge about complex cultural and natural environments so that a computer vision system can successfully plan, navigate, recognize, and manipulate objects, and answer questions or make decisions relevant to this knowledge. The results to date include the development of new representations and techniques for rapidly modeling terrain from multiple images, and for the recognition and reliable labeling of such scene attributes and components as color, texture, shadows, and a variety of linear structures (skyline, ridgelines, road, etc.). The most recent results are detailed in three papers included as appendices to this report.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1999
Accession Number
ADA364215

Entities

People

  • Martin A. Fischler
  • Robert C. Bolles

Organizations

  • SRI International

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computer Vision
  • Computers
  • Construction
  • Databases
  • Environment
  • Geometry
  • Ground Level
  • Image Processing
  • Object Recognition
  • Recognition
  • Test And Evaluation
  • Three Dimensional
  • Two Dimensional
  • Unmanned Ground Vehicles

Readers

  • Computer Vision.
  • Instructional Design and Training Evaluation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy