Resolution Independent Deformable Model
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
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
Authors
Professor of Computer Science
My research interests include digital geometry, geometry processing, image analysis, variational models and discrete calculus.