Point features, as the basis of lines, surfaces, and bodies, are commonly used in medical
image registration. To obtain an elegant spatial transformation of extracted feature points …

Point set registration is a key component in many computer vision tasks. The goal of point
set registration is to assign correspondences between two sets of points and to recover the …

A graduated assignment algorithm for graph matching is presented which is fast and
accurate even in the presence of high noise. By combining graduated nonconvexity, two …

Image registration is the process of precisely overlaying two (or more) images of the same
area through geometrically aligning common features (or control points) identified in the …

Construction performance monitoring has been identified as a key component that leads to
the success of a construction project. Real-time and frequent monitoring will enable early …

The goal of our work is to develop an efficient, automatic algorithm for discovering point
correspondences between surfaces that are approximately and/or partially isometric. Our …

The authors formulate feature registration problems as maximum likelihood or Bayesian
maximum a posteriori estimation problems using mixture models. An EM-like algorithm is …

We present a novel method for the geometric alignment of autoradiographs of the brain. The
method is based on finding the spatial mapping and the one-to-one correspondences (or …

In a series of papers in the early to mid 1980's, Hop eld and Tank introduced techniques
which allowed one to solve combinatorial optimization problems with recurrent neural …

Recently there has been a surge of interest to use branch-and-bound (bnb) optimisation for
3D point cloud registration. While bnb guarantees globally optimal solutions, it is usually too …