Terrestrial laser scanning (TLS) is an important part of urban reconstruction and terrain
surveying. In TLS applications, 4-point congruent set (4PCS) technology is widely used for …

Robotic grinding based on point cloud data is considered an alternative solution for efficient
and intelligent machining of complex components by virtue of its flexibility, intelligence, and …

The new generation 3D scanner devices have revolutionized the way information from 3D
objects is acquired, making the process of scene capturing and digitization straightforward …

The accuracy of 3D shape measurement directly determines the quality and reliability of
intelligent manufacturing, and point cloud registration is the key factor. However, the …

With the acceleration in three-dimensional (3D) high-frame-rate sensing technologies,
dense point clouds collected from multiple standpoints pose a great challenge for the …

With the rapid development of binocular reconstruction, fringe projection profilometry, and
time of flight, 3D imaging technology has been widely applied in the field of 3D …

Boresight angle misalignment is a major error source in a mobile light detection and ranging
(LiDAR) system (MLS), which directly affects the overall accuracy and quality of MLS …

Terrestrial laser scanning (TLS) technology has the advantages of wide range, high
efficiency, and low cost in spatial information collection, so it is widely used in infrastructure …

In this research, we use hash match of invariants under fixed pair length and local
compatibility check of positions or normal vectors to improve the efficiency of two-point …

Point cloud registration is a critical component of many tasks including the estimation of
sensor motion and 3D reconstruction. The Iterative Closest Point (ICP) algorithm and its …