ATR Using Multi-view Morphing

Abstract

In 2005, reviewed current research literature in view morphing and matching for single views, and discussed a feature based approach to sparse view morphing that also shows promise for compression of the model data corpus. Worked on a new Bayesian approach for the problem from a mid-level segmentation problem. We obtained good results for feature-based morphing, as well as preliminary demonstration of the novel object representation. In 2006, we completed work in automatic target recognition using video. Introduced a novel approach for adaptive video.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2005
Accession Number
ADA507409

Entities

People

  • Mubarak Ali Shah

Organizations

  • University of Central Florida

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Algorithms
  • Bayesian Networks
  • Computer Graphics
  • Computer Vision
  • Data Sets
  • Detection
  • Detectors
  • Equations
  • Geometry
  • Image Processing
  • Image Registration
  • Object Recognition
  • Pattern Recognition
  • Recognition
  • Students
  • Target Recognition
  • Three Dimensional

Fields of Study

  • Computer science

Readers

  • Educational Psychology
  • Military/Explosive Ordnance Disposal (EOD) Technology
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML