Domain-Specific Models in Computer Vision.

Abstract

The grant supported research on motion, shape, geometry, and object recognition. Work in the first area dealt with geometric and probabilistic models for understanding image sequences. In the second area, growth and migration models for the generation and evolution of shapes were developed. The third area included a wide variety of basic geometrical studies. The fourth area dealt with an integrated approach to model-based object segmentation and recognition, and with the recognition of object functionality. In addition, annual, subject-indexed bibliographies of the literature on computer vision and image analysis-about 1500 references per year-were compiled and published.

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Document Details

Document Type
Technical Report
Publication Date
Jun 24, 1996
Accession Number
ADA311087

Entities

People

  • Azriel Rosenfeld

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Bibliographies
  • Change Detection
  • Computer Vision
  • Computers
  • Geometry
  • Image Recognition
  • Migration
  • Models
  • Object Recognition
  • Pattern Recognition
  • Personal Information Managers
  • Probabilistic Models
  • Recognition
  • Sequences
  • Universities

Readers

  • Computational Fluid Dynamics (CFD)
  • Computational Linguistics
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms