Point cloud registration aims to find a rigid transformation for aligning one point cloud to
another. Such registration is a fundamental problem in computer vision and robotics, and …

Using 3D sensing for plant phenoty** has risen within the last years. This review provides
an overview on 3D traits for the demands of plant phenoty** considering different …

We study the problem of extracting correspondences between a pair of point clouds for
registration. For correspondence retrieval, existing works benefit from matching sparse …

We explore the effect of geometric structure descriptors on extracting reliable
correspondences and obtaining accurate registration for point cloud registration. The point …

Abstract We present PPFNet-Point Pair Feature NETwork for deeply learning a globally
informed 3D local feature descriptor to find correspondences in unorganized point clouds …

Abstract 3D scene analysis in terms of automatically assigning 3D points a respective
semantic label has become a topic of great importance in photogrammetry, remote sensing …

In our recent work [1],[2], we proposed Point Feature Histograms (PFH) as robust multi-
dimensional features which describe the local geometry around a point p for 3D point cloud …

In this paper we investigate the usage of persistent point feature histograms for the problem
of aligning point cloud data views into a consistent global model. Given a collection of noisy …

This article investigates the problem of acquiring 3D object maps of indoor household
environments, in particular kitchens. The objects modeled in these maps include cupboards …

For relocalization in large-scale point clouds, we propose the first approach that unifies
global place recognition and local 6DoF pose refinement. To this end, we design a Siamese …