One of the main challenges for computer-assisted surgery (CAS) is to determine the intra-
operative morphology and motion of soft-tissues. This information is prerequisite to the …

As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

This monograph reviews both the theory and practice of the numerical computation of
geodesic distances on Riemannian manifolds. The notion of Riemannian manifold allows …

We introduce the first completely unsupervised correspondence learning approach for
deformable 3D shapes. Key to our model is the understanding that natural deformations …

We present NeuroMorph, a new neural network architecture that takes as input two 3D
shapes and produces in one go, ie in a single feed forward pass, a smooth interpolation and …

Informative and discriminative feature descriptors play a fundamental role in deformable
shape analysis. For example, they have been successfully employed in correspondence …

The recent introduction of 3D shape analysis frameworks able to quantify the deformation of
a shape into another in terms of the variation of real functions yields a new interpretation of …

We present an approach to nonrigid registration of 3D surfaces. We cast isometric
embedding as MRF optimization and apply efficient global optimization algorithms based on …

We present a method to match three dimensional shapes under non-isometric deformations,
topology changes and partiality. We formulate the problem as matching between a set of …

Battery management system (BMS) is an integral part of the electric vehicle (EV) and the
hybrid electric vehicle (HEV). The BMS performs the tasks by integrating one or more of the …