Tutorial: Basic Knowledge in CloudCompare

Basic Knowledge in CloudCompare

In this tutorial, you will learn the basic functions of CloudCompare. The topics include:

Aligning Point Clouds: Learn how to load two point clouds, preset them, manually align them, and precisely register them using the ICP (Iterative Closest Point) method.

Merging Multiple Point Clouds: Discover how to load multiple point clouds, merge them, and review and clean up the resulting point cloud.

Visualization Options: Explore how to change colors and utilize PCV shaders (Point Cloud Visualization Shaders) and scalar fields for better point cloud representation.

Segmentation and Cross-Sections: Select segments of point clouds and create cross-sections for detailed analysis.

Point Picking: Select specific points to determine their coordinates and distances.

Creating Meshes: Learn how to create and edit meshes from point clouds to generate structured surface models.

This tutorial provides a comprehensive introduction to the basic tools and functions of CloudCompare to help you get started and efficiently process your point clouds.

00:00 export scan data as pointclouds
04:30 import pointclouds to cloudcompare
05:32 create a shaded visualisation for pointclouds with normals
06:38 aligne pointclouds roughly
13:13 finely register pointclouds
16:15 create normals scalarfields
17:17 create a mesh from the merged pointclouds
18:29 filter mesh by a density scalarfield
19:45 create cross sections
22:03 point picking tool: measure distance, location and angles
26:06 subsample pointclouds
28:41 coordinate based scalarfields / elevation mapping