This study had two main aims:(1) to provide a comprehensive review of terrestrial laser
scanner (TLS) point cloud registration methods and a better understanding of their strengths …

During the last decades, the research community of medical imaging has witnessed
continuous advances in image registration methods, which pushed the limits of the state-of …

Szeliski et al. published an influential study in 2006 on energy minimization methods for
Markov random fields. This study provided valuable insights in choosing the best …

Automatic registration of unordered point clouds collected by the terrestrial laser scanner
(TLS) is the prerequisite for many applications including 3D model reconstruction, cultural …

Seven years ago, Szeliski et al. published an influential study on energy minimization
methods for Markov random fields (MRF). This study provided valuable insights in choosing …

In this paper we present a framework for the automatic registration of multiple terrestrial laser
scans. The proposed method can handle arbitrary point clouds with reasonable pairwise …

Automatic registration of multiple point clouds is a significant preprocessing step for 3D
computer vision tasks including semantic segmentation, 3D modelling, change detection …

Many computer vision problems can be cast as an optimization problem whose feasible
solutions are decompositions of a graph. The minimum cost lifted multicut problem is such …

This monograph is about combinatorial optimization. More precisely, about a special class of
combinatorial problems known as energy minimization or maximum a posteriori (MAP) …

Multicuts enable to conveniently represent discrete graphical models for unsupervised and
supervised image segmentation, in the case of local energy functions that exhibit …