The Smoothest Velocity Field and Token Matching Schemes.

Abstract

This paper presents some mathematical results concerning the measurement of motion of contours. A fundamental problem of motion measurement in general is that the velocity field is not determined uniquely from the changing intensity patterns. They formulate the measurement of motion as the computation of the smoothest velocity field consistent with the changing contour. We analyse this Extremum principle and prove that it is closely related to a matching scheme for motion measurement which matches points on the moving contour that have similar tangent vectors. We then derive necessary and sufficient conditions for the principle to yield the correct velocity field. These results have possible implications for the design of computer visions systems, and for the study of human vision.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1983
Accession Number
ADA133633

Entities

People

  • A. L. Yuille

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Application Software
  • Artificial Intelligence
  • Calculus Of Variations
  • Computations
  • Computer Vision
  • Computers
  • Curvature
  • Differential Geometry
  • Equations
  • Geometry
  • Integrals
  • Intensity
  • Measurement
  • Stratified Fluids
  • Translations
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Computer Vision.
  • Military History / Militaries and War Studies

Technology Areas

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