In this paper, we make two contributions to the field of level set based image segmentation. Firstly, we propose shape dissimilarity measures on the space of level set functions wh...
The main focus of this paper is the shape representation and registration using vector level set functions. This powerful representation is more flexible than conventional signed ...
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
A variational approach to image or video segmentation consists in defining an energy depending on local or global image characteristics, the minimum of which being reached for ob...
Eric Debreuve, Muriel Gastaud, Michel Barlaud, Gil...
We propose a variational approach to computing an optimal segmentation of a 3D shape for computing a union of tight bounding volumes. Based on an affine invariant measure of e-ti...