Final Report for Geometric Observers and Particle Filtering for Controlled Active Vision

Abstract

Curvature driven flows based on the minimization of certain geometric functionals have been used for a number of problems in visual control and computer vision in the past few years [103, 88, 109]. These flows themselves are very much motivated by ideas in optimal control; see [69]. We have summarized some of the key flows which we will need in the sequel.

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Document Details

Document Type
Technical Report
Publication Date
Dec 15, 2016
Accession Number
AD1051152

Entities

People

  • Allen R. Tannenbaum

Organizations

  • Georgia Tech Research Corporation

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Boltzmann Equation
  • Computational Science
  • Computations
  • Computer Vision
  • Computers
  • Differential Equations
  • Equations
  • Fluid Dynamics
  • Image Processing
  • Image Registration
  • Mathematical Analysis
  • Mathematical Models
  • Models
  • Partial Differential Equations
  • Sequential Monte Carlo Methods
  • Two Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Vision.
  • Mathematical Modeling and Probability Theory.

Technology Areas

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