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On a stochastic model of geometric snakes

  • A. Yezzi
  • , D. Nain
  • , G. Unal
  • , O. Zeitouni
  • , A. Tannenbaum
  • Georgia Institute of Technology
  • Siemens
  • University of Minnesota Twin Cities

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

It this note, we give a formulation of a stochastic snake model based the theory of interacting particle systems and hydrodynamic limits. Curvature flows have been extensively considered from a deterministic point of view. They have been shown to be useful for a number of applications including crystal growth, flame propagation, and computer vision. In some previous work [71], we have described a random particle system, evolving on the discretized unit circle, whose profile converges toward the Gauss-Minkowsky transformation of solutions of curve shortening flows initiated by convex curves The present note shows that this theory may be implemented as a new way of evolving curves as a possible alternative to level set methods.

Original languageEnglish
Title of host publicationHandbook of Mathematical Models in Computer Vision
PublisherSpringer US
Pages161-174
Number of pages14
ISBN (Print)0387263713, 9780387263717
DOIs
Publication statusPublished - 2006
Externally publishedYes

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