An image-based method for the pairwise registration of mobile laser scanning point clouds

In this thesis, an image-based method is proposed for solving the relative translation errors of 3D point clouds collected by Mobile Laser Scanning (MLS) techniques. The process of matching 3D point clouds is known as registration. Due to environment-depending limitations of the positioning component of MLS systems, when recording a certain...

Towards point cloud harmonization: Harmonization of point cloud datasets with varying coordinate reference systems

This paper has its focus on the accessibility, interoperability and quality of different point cloud datasets. The main objective of the project is to research the process of harmonizing point cloud datasets of different origins and to incorporate the integrated datasets in a web viewer that allows for visualization and analysis. As a case study...

A vario-scale approach that improves integration of point clouds with different point densities

Point clouds are becoming one of the most common ways to represent geographical data. The scale of acquisition of point clouds is growing steadily. However, point clouds are often very large in storage size and require computationally intensive operations. The integration of point clouds nowadays still face a lot of challenges. This project...

Generating a full 3D Model of The Windmill (Molen de Roos)

Merging interior and exterior laser scanning point clouds of the historical windmill, completing the missing parts from airborne laser scanning data and trying different mesh generation methods for full 3D windmill model generation in order to be able to perform virtual visits in the future.

Visualization on a Budget for Massive LiDAR Point Clouds

The recent emergence of LiDAR scanning technology has resulted in the availability of very large three dimensional point cloud data sets. An example of such a data set is the AHN2 data set, which contains a high-density point cloud for the Netherlands. The direct visualization of these point cloud data sets is important because it provides the...