Current studies often decompose multiview registration into several individual tasks,
ignoring the correlation between each stage and making certain assumptions on noise …

Point cloud registration plays a central role in various applications, such as 3-D scene
reconstruction, preservation of cultural heritage and deformation monitoring. The point cloud …

To improve the low accuracy problem of existing point cloud registration algorithms
attributed to deficient point cloud geometric features, we proposed a new point cloud …

In many applications related to point clouds, registration is an inevitable step when
processing point cloud data. The registration methods performed by local shape descriptor …

In the surgery of knee cruciate ligament repair, how to accurately and personalized obtain
cruciate ligament insertion centers is the key issue and a great challenge for surgeons …

Point cloud classification and segmentation are crucial tasks for point cloud processing and
have wide range of applications, such as autonomous driving and robot grasping. Some …

Point cloud registration is an important aspect of computer vision, encompassing various
applications. However, many existing algorithms neglect the registration of non‐rigid point …

Airborne LiDAR bathymetry (ALB) data often contains subtle terrain undulations and
abundant residual noise, which directly results in difficulties in extracting feature points …