Foundations of Object Detection and Recognition,

Abstract

The objectives of this project were to: 1) Develop mathematical foundations for a unified approach to object (in particular target) detection and recognition. 2) Accommodate multi-sensor data and scenarios with large numbers of objects. 3) Accommodate rigid and non-rigid transformations, variations in lighting conditions, contrast, noise, blur, and clutter. 4) Overcome the massive computational hurdles inherent in the general problem of object detection and recognition.

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Document Details

Document Type
Technical Report
Publication Date
Aug 20, 1998
Accession Number
ADA352287

Entities

People

  • Ulf Grenander

Organizations

  • Brown University

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Cognitive Science
  • Computational Science
  • Computations
  • Computer Vision
  • Detection
  • Detectors
  • Digital Signal Processing
  • Lie Groups
  • Mathematical Analysis
  • Object Recognition
  • Probability
  • Recognition
  • Signal Processing
  • Synthetic Aperture Radar
  • Target Recognition

Readers

  • Distributed Systems and Data Platform Development
  • Sensor Fusion and Tracking Systems.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.