GRIP Globally optimal robust 3D point set registration

The aim of this thesis is to provide a robust and globally optimal method for rigid point set registration in the presence of outliers and structured noise. The registration of 2D or 3D point sets is a common problem in computer vision [9], with applications that include aligning MRI/CT scans, and simultaneous localization and mapping (SLAM) in...