Stochastic models for DIV-CURL optical flow methods

Sandeep N. Gupta, Jerry L. Prince

Research output: Contribution to journalArticlepeer-review

34 Scopus citations


In this letter, we consider Suter's DIV-CURL optical flow methods, wherein the problem of computing a velocity field from an image sequence is regularized using smoothness conditions based on the divergence and curl of the field. In particular, we develop stochastic formulations of DIV-CURL splines using the linear smoothing theory of Adams, Willsky, and Levy. Our models are shown to be well posed and thus can be used in both simulating and estimating velocity fields having known stochastic properties. As a special case, our stochastic model reduces to that developed by Rougee, Levy, and Willsky for the classical Horn and Schunck's optical flow.

Original languageEnglish (US)
Pages (from-to)32-34
Number of pages3
JournalIEEE Signal Processing Letters
Issue number2
StatePublished - Feb 1996

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics


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