We present an affine-invariant non-stationary subdivision scheme for the recursive
refinement of any triangular mesh that is regular or has extraordinary vertices of valence 4 …

Image segmentation is an important step in the quantitative analysis of fluorescence
microscopy data. Since fluorescence microscopy volumes suffer from intensity …

In applications that involve interactive curve and surface modeling, the intuitive manipulation
of shapes is crucial. For instance, user interaction is facilitated if a geometrical object can be …

Existing shape models with spherical topology are typically designed either in the discrete
domain using interpolating polygon meshes or in the continuous domain using smooth but …

In this paper we propose a new multi-scale fully automatic algorithm based on Graph cuts for
vessel extraction. In fact, we combine vesselness, geodesic paths, a multi-scale edgeness …

Biomedical image segmentation is an active field of research where deformable models
have proved to be efficient. The geometric representation of such models determines their …

Recent advances in optical microscopy have enabled biologists collect fluorescence
microscopy volumes cellular and subcellular structures of living tissue. This results in …

We propose a new formulation of the active surface model in 3D. Instead of aligning a shape
dictionary through the similarity transform, we consider more flexible affine transformations …

Ongoing advances in imaging techniques create new demands regarding the analysis of
images in medicine and biology. Image segmentation is a key step of many image analysis …

In this thesis, we present a novel generic and unifying framework for data-adaptive shape
modeling. Our work is motivated by the raising need for powerful geometric modeling …