Determining Optical Flow.

Abstract

Optical flow cannot be computed locally, since only one independent measurement is available from the image sequence at a point, while the flow velocity has two components. A second constraint is needed. A method for finding the optical flow pattern is presented which assumes that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image. An iterative implementation is shown which successfully computes the optical flow for a number of synthetic image sequences. The algorithm is robust in that it can handle image sequences that are quantized rather coarsely in space and time. It is also insensitive to quantization of brightness levels and additive noise. Examples are included where the assumption of smoothness is violated at singular points or along lines in the image. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1980
Accession Number
ADA093925

Entities

People

  • Berthold K. P. Horn
  • Brian G. Schunck

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Counter IED

DTIC Thesaurus Topics

  • Applied Mathematics
  • Artificial Intelligence
  • Brightness
  • Computational Science
  • Computer Vision
  • Differential Equations
  • Equations
  • Geometry
  • Image Processing
  • Iterations
  • Mathematics
  • New York
  • Numerical Analysis
  • Partial Differential Equations
  • Perception
  • Sequences
  • Specular Reflection

Readers

  • Computer Vision.
  • Fluid Dynamics.
  • Theoretical Analysis.

Technology Areas

  • Space