|
|
|
|
|
Wenqi Lyu, Wei Ke, Hao Sheng, Xiao Ma and Huayun Zhang
In response to the challenge of handling large-scale 3D point cloud data, downsampling is a common approach, yet it often leads to the problem of feature loss. We present a dynamic downsampling algorithm for 3D point cloud maps based on an improved voxel...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yanfeng Gao, Cicao Ping, Ling Wang and Binrui Wang
According to the requirements of point cloud simplification for T-profile steel plate welding in shipbuilding, the disadvantages of the existing simplification algorithms are analyzed. In this paper, a point cloud simplification method is proposed based ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yang Yang, Ming Li and Xie Ma
To further improve the efficiency and accuracy of the vehicle part inspection process, this paper designs an accurate and efficient vehicle body part inspection framework based on scattered point cloud data (PCD). Firstly, a hybrid filtering algorithm fo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kun Zhang, Shiquan Qiao, Xiaohong Wang, Yongtao Yang and Yongqiang Zhang
With the development of 3D scanning technology, a huge volume of point cloud data has been collected at a lower cost. The huge data set is the main burden during the data processing of point clouds, so point cloud simplification is critical. The main aim...
ver más
|
|
|
|
|
|