Point cloud registration is a research field where the spatial relationship between two or
more sets of points in space is determined. Point clouds are found in multiple applications …

摘要传统的货车点云配准算法通过寻找点云间的关键特征实现点云配准, 这种方法效率较低,
且点云之间存在重复的场景, 噪声点, 配准算法寻找的关键特征往往是不准确的. 对此 …

Suppose the current three-dimensional point cloud splicing method is well applicable to
point clouds with insufficient features, it will benefit the noncontact surface quality detection …

点云配准是数字化文物保护的关键一环, 提高配准精度与抗噪性是文物点云配准的主要目标.
针对该问题, 提出一种基于协方差矩阵描述子的三维点云配准方法. 使用张量投票法剔除噪声点 …

The presence of 3D sensors in hand-held or head-mounted smart devices has motivated
many researchers around the globe to devise algorithms to manage 3D point cloud data …

Point cloud registration is a key part of the digital protection of cultural relics. Improving
registration accuracy and noise resistance is the main goal of point cloud registration for …

The registration of 3D point clouds consists of correcting the pose of two or more partial
views of objects or scenes captured in different perspectives, which finds applications in …

Efficient management of water resources is of great importance regarding ever increasing
population and water droughts related to climate change. Drainage networks are important …