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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