Point cloud registration (PCR) is an important task in photogrammetry and remote sensing,
whose goal is to seek a seven-parameter similarity transformation to register a pair of point …

With the advancement of 3D sensing technologies, point clouds are gradually becoming the
main type of data representation in applications such as autonomous driving, robotics, and …

Point cloud registration (PCR) is an important technique of 3D vision, which has been widely
applied in many areas such as robotics and photogrammetry. The iterative closest point …

Feature matching, which aims at seeking dependable correspondences between two sets of
features, is of considerable significance to various vision-based tasks. This paper attempts to …

Registration is a basic yet crucial task in point cloud processing. Obtaining robust as well as
accurate features and correspondences is critical to feature-based point cloud registration …

In this paper, we propose a novel center-based decoupled point cloud registration
framework for robust 6D object pose estimation in real-world scenarios. Our method …

Accurate diameter at breast height (DBH) and tree height (H) information can be acquired
through terrestrial laser scanning (TLS) and airborne LiDAR scanner (ALS) point cloud …

This study assesses the use of terrestrial laser scanning (TLS) based automatic point cloud
registration to determine the displacement field caused by underground mining. The …

Registration is a basic yet crucial task in point cloud processing. In correspondence-based
point cloud registration, matching correspondences by point feature techniques may lead to …

Point cloud registration is a crucial technique in photogrammetry, remote sensing, etc. A
generalized 3D point cloud registration framework has been developed to estimate the …