Sciweavers

SCALESPACE
2009
Springer
14 years 3 months ago
Geodesically Linked Active Contours: Evolution Strategy Based on Minimal Paths
The proposed method is related to parametric and geodesic active contours as well as minimal paths, in the context of image segmentation 1 . Our geodesically linked active contour ...
Julien Mille, Laurent D. Cohen
SCALESPACE
2009
Springer
14 years 3 months ago
An Implicit Method for Interpolating Two Digital Closed Curves on Parallel Planes
Ardon et al. [2] presented an implicit method for surface segmentation in 3D images. The boundary of the surface is assumed to be constrained by two given curves in the image. In t...
Nikolaos C. Gabrielides, Laurent Cohen
SCALESPACE
2009
Springer
14 years 3 months ago
A Scale-Space Approach to Landmark Constrained Image Registration
Adding external knowledge improves the results for ill-posed problems. In this paper we present a new multi-level optimization framework for image registration when adding landmark...
Eldad Haber, Stefan Heldmann, Jan Modersitzki
SCALESPACE
2009
Springer
14 years 3 months ago
An Elasticity Approach to Principal Modes of Shape Variation
Abstract. Concepts from elasticity are applied to analyze modes of variation on shapes in two and three dimensions. This approach represents a physically motivated alternative to s...
Martin Rumpf, Benedikt Wirth
SCALESPACE
2009
Springer
14 years 3 months ago
Tubular Anisotropy Segmentation
Fethallah Benmansour, Laurent D. Cohen
SCALESPACE
2009
Springer
14 years 3 months ago
Hyperbolic Numerics for Variational Approaches to Correspondence Problems
Henning Zimmer, Michael Breuß, Joachim Weick...
SCALESPACE
2009
Springer
14 years 3 months ago
PDE-Driven Adaptive Morphology for Matrix Fields
Matrix fields are important in many applications since they are the adequate means to describe anisotropic behaviour in image processing models and physical measurements. A promin...
Bernhard Burgeth, Michael Breuß, Luis Pizarr...
SCALESPACE
2009
Springer
14 years 3 months ago
L0-Norm and Total Variation for Wavelet Inpainting
Abstract. In this paper, we suggest an algorithm to recover an image whose wavelet coefficients are partially lost. We propose a wavelet inpainting model by using L0-norm and the t...
Andy C. Yau, Xue-Cheng Tai, Michael K. Ng
SCALESPACE
2009
Springer
14 years 3 months ago
Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising
In the context of shape and image modeling by manifold learning, we focus on the problem of denoising. A set of shapes or images being known through given samples, we capture its s...
Nicolas Thorstensen, Florent Ségonne, Renau...