Resolution Independent Deformable Model

Jacques-Olivier Lachaud, B. Taton
January, 2004
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Abstract

In this paper we propose a parametric deformable model that automatically adapts its topology and that recovers accurately image components with a complexity independent from the resolution of input image. The main idea is to equip the image space with a metric that expands interesting features in the image depending on their geometry.

Type
Conference paper
Publication
Proc. 17th int. Conf. on Pattern Recognition (ICPR'2004), Cambridge, United Kingdom, 23-26 August, volume II, pp 237-240, IEEE Computer Society Press
deformable model variational model topology adaptation resolution adaptation curvature estimation reconstruction active contour 2D Riemannian geometry image structure tensor image analysis
Jacques-Olivier Lachaud
Jacques-Olivier Lachaud
Professor of Computer Science

My research interests include digital geometry, geometry processing, image analysis, variational models and discrete calculus.