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 relevent to this knowledge. The results to date include the development of new representations for rapidly modeling terrain from multiple images -- including 3-D hexagonal surface meshes and 'particle-based' 3-D modeling primitives that allow a robotic system to incrementally build a complete geometric model of its environment. We have also extended and improved our set of object recognition primitives to allow reliable labeling of such scene attributes and components as color, texture, shadows, and a variety of linear structures (skyline, ridgelines, roads, etc.). The most recent results are detailed in four published papers included as appendices to this report. (MM)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1996
Accession Number
ADA303485

Entities

People

  • Martin A. Fischler
  • Robert C. Bolles

Organizations

  • SRI International

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Cameras
  • Cartesian Coordinates
  • Computer Graphics
  • Computer Programs
  • Computer Vision
  • Computers
  • Detectors
  • Geometry
  • Light Sources
  • Object Recognition
  • Pattern Recognition
  • Recognition
  • Three Dimensional
  • Two Dimensional
  • Unmanned Ground Vehicles

Readers

  • Computational Fluid Dynamics (CFD)
  • Computer Vision.
  • Systems Analysis and Design

Technology Areas

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