LIDAR points cloud filtering is a preprocessing for the application of LIDAR data,it can filter out non-ground data from original data set.

A new filtering algorithm of Lidar point clouds is preseted, which can work well in complex cityscapes.

Based on the experience in reverse engineering practices, the factors that influenced the accuracy of optical scanning measurement in the acquirement of points cloud data are concluded and analyzed, and the corresponding counterme asures are presented aiming at the sources of errors.

Three dimensional points cloud data are analyzed by using object-oriented programmer,and the computer-based realization,which is organized by points cloud data of urban building captured by laser scanning,is studied based on image process on the exploration platform of Visual C++6.

The results of planar parameters estimation are not accurate by traditional plane fitting methods to point clouds,because the gross error and outliers are not considered.

This paper studies how to generate the slice data from point clouds.

This paper studies how to generate the slice data from point clouds, which is the critical problem in the integration of Reverse Engineering and Rapid Prototyping Manufacturing.

Research in segmentation methods for point cloud of autobody surface;

Lossless compression method of octree based on 3D point cloud data

It is necessary to triangulate the point cloud in reverse engineering and rapid prototyping.