Space-Time Filtering, Sampling and Motion Uncertainty

Abstract

The structure of filters which are space-time oriented is analyzed. Basically, this paper consists of two parts. The first presents the cascade of space-time DOG as an energy filter, discusses its general properties and show how to compute its energy. The second part discusses the consequences of applying the sampling theorem to uniformly translating patterns in the presence of motion uncertainty. It is shown that, for a given motion uncertainty, there exists a bound on the maximum sampling interval, such that for larger values aliasing will occur. Keywords: Dog filters; Machine Vision.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1988
Accession Number
ADA199667

Entities

People

  • Radu S. Jasinschi

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Classification
  • Computer Vision
  • Computers
  • Convolution
  • Filters
  • Filtration
  • Flow Fields
  • Frequency
  • Frequency Domain
  • Identification
  • Intensity
  • Measurement
  • Orientation (Direction)
  • Security
  • Sequences
  • Two Dimensional
  • Universities

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Systems Analysis and Design

Technology Areas

  • Space