Applications of Geometric Invariants to Computer Vision - AASERT Grant.

Abstract

This is an AASERT grant that is a supplementary award to the parent AFOSR Grant FR962O-94-1-OO2. The objective was to train a graduate student who must be a U.S. citizen. We have achieved this objective and the student will be awarded a Ph.D. in Computer Science in August 1997. Also, the student published several papers in refereed journals and gave oral presentations in two international conferences. We developed a method for object recognition by extracting conics from digitized images and computing their invariants. The proposed method was extensively tested under noisy conditions and the results were highly satisfactory. We also investigated the geometrical properties of the Legendre transform that are of interest in image understanding applications. Finally, we developed a matching algorithm for space curves, which reduces the problem to finding the eigenvalues of a 4-dimensional matrix.

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Document Details

Document Type
Technical Report
Publication Date
Aug 12, 1997
Accession Number
ADA332074

Entities

People

  • Prabir Bhattacharya

Organizations

  • University of Nebraska–Lincoln

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Artificial Intelligence
  • Automata Theory
  • Cameras
  • Character Recognition
  • Computer Science
  • Computer Vision
  • Eigenvalues
  • Image Recognition
  • Object Recognition
  • Pattern Recognition
  • Recognition
  • Students
  • Target Recognition
  • Three Dimensional
  • Two Dimensional

Readers

  • Computer Vision.
  • Linear Algebra
  • Technical Research and Report Writing.

Technology Areas

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