Abstract Computerized Image Registration approaches can offer automatic and accurate
image alignments without extensive user involvement and provide tools for visualizing …

Non‐rigid 3D shape correspondence is a fundamental and difficult problem. Most
applications which require a correspondence rely on manually selected markers. Without …

Gaussian mixture alignment is a family of approaches that are frequently used for robustly
solving the point-set registration problem. However, since they use local optimisation, they …

We present an algorithm for shape matching and recognition based on a generative model
for how one shape can be generated by the other. This generative model allows for a class …

We present a real-time method for detecting deformable surfaces, with no need whatsoever
for a priori pose knowledge. Our method starts from a set of wide baseline point matches …

In the field of maxillofacial surgery, there is a huge demand from surgeons to be able to pre-
operatively predict the new facial outlook after surgery. Besides the big interest for the …

In this paper, motivated by the problem of multimodal retinal image registration, we introduce
and improve the robust registration framework based on partial intensity invariant feature …

The iterative closest point (ICP) algorithm is fast and accurate for rigid point set registration,
but it works badly when handling noisy data or point clouds with outliers. This paper instead …

Manipulation of deformable linear objects is a challenging task for robots. These objects
have infinite-dimensional configuration space and are computational-expensive to model …

We present a dense reconstruction approach that overcomes the drawbacks of traditional
multiview stereo by incorporating semantic information in the form of learned category-level …