As a preprocessing step, image segmentation, which can do partition of an image into
different regions, plays an important role in computer vision, objects recognition, tracking …

This article provides an overview of various notions of shape spaces, including the space of
parametrized and unparametrized curves, the space of immersions, the diffeomorphism …

We present a system that builds 3D models of non-rigidly moving surfaces from scratch in
real time using a single RGB-D stream. Our solution is based on the variational level set …

The objects in natural images are often texturally inhomogeneous and prone to be falsely
segmented into different parts by conventional methods. To overcome the difficulties caused …

The accurate detection of object boundaries via active contours is an ongoing research topic
in computer vision. Most active contours converge toward some desired contour by …

We define a novel metric on the space of closed planar curves which decomposes into three
intuitive components. According to this metric, centroid translations, scale changes, and …

We tackle here the problem of multimodal image non-rigid registration, which is of prime
importance in remote sensing and medical imaging. The difficulties encountered by classical …

Purpose Segmenting the cardiac ventricles in magnetic resonance (MR) images is required
for cardiac function assessment. Numerous segmentation methods have been developed …

We consider the problem of inferring a layered representa-tion, its depth ordering and
motion segmentation from a video in whichobjects may undergo 3D non-planar motion …

This paper addresses large-displacement-diffeomorphic map** registration from an
optimal control perspective. This viewpoint leads to two complementary formulations. One …