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Proceedings Paper

Reconstruction-model-based snake applied to optimal motion contour positioning
Author(s): Henri Sanson
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Paper Abstract

This paper addresses the problem of optimal positioning of a contour separating two moving regions using snake concepts. After a brief recall of classical snake methodology, an alternative approach is proposed, based on a reconstruction criterion for the regions delimited by the curve, and the use of parametric modeling of both the region textures and boundaries. A generic adaptive step gradient algorithm is formulated for solving the curve evolution problem, independently of the models used. The method is then more specifically applied to motion boundary localization, where the texture of mobile regions is reconstructed by motion compensation, using polynomial motion models. The generic optimization algorithm is applied to motion frontiers defined by B- spline curves. Detailed implementation of this method in this particular case is described, and considerations about its behavior are given. Some experimental results are finally reported, attesting the interest of the proposed approach.

Paper Details

Date Published: 21 April 1995
PDF: 11 pages
Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); doi: 10.1117/12.206790
Show Author Affiliations
Henri Sanson, Ctr. Commun d'Etudes de Telediffusion et Telecommunications (France)

Published in SPIE Proceedings Vol. 2501:
Visual Communications and Image Processing '95
Lance T. Wu, Editor(s)

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