Representation, Modeling and Recognition of Outdoor Scenes

Abstract

The primary goal of this project was 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 initial results are centered on the development of representations and associated methods for rapidly modeling natural terrain (from image sequences) at a level of organization higher than that of the conventional dense array of depths. This work will provide the essential advance need to turn raw geometric measurements into timely information usable by robotic navigation and planning systems. Work is also progressing on two additional problems: modeling compact 3-D objects from their projected 2-D contours, and the problem of recognizing important classes of natural and man-made objects - especially roads, trees and rocks. Machine vision, Automated scene analysis, Interactive scene analysis, Object recognition, Terrain modeling, Automated cartography, Feature extraction delineation partitioning, Geometric modeling.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1993
Accession Number
ADA283257

Entities

People

  • Martin A. Fischler
  • Robert C. Bolles

Organizations

  • SRI International

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Accuracy
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Cameras
  • Computer Vision
  • Computers
  • Engineering
  • Geometric Forms
  • Geometry
  • Laser Rangefinding
  • Light Sources
  • Lines (Geometry)
  • Measurement
  • Navigation
  • Physical Properties
  • Three Dimensional
  • Two Dimensional

Readers

  • Computer Vision.
  • Systems Analysis and Design

Technology Areas

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