Reconstruction-model-based snake applied to optimal motion contour positioning

Henri Sanson

doi:10.1117/12.206790

21 April 1995 Reconstruction-model-based snake applied to optimal motion contour positioning

Henri Sanson

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206790
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

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.

Citation Download Citation

Henri Sanson "Reconstruction-model-based snake applied to optimal motion contour positioning", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206790

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