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In this video, you'll learn how to create stunning 3D meshes from point clouds using Python. We'll use the popular Python library Open3D to create a 3D mesh from a point cloud. We'll also show you how to visualize the mesh using CloudCompare or MeshLab
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Point clouds are a collection of 3D points that represent the surface of an object. They are often used in 3D scanning and photogrammetry. This video is for beginners who want to learn how to create 3D meshes from point clouds using Python. No prior experience with Python or Open3D is required.
Chapters
00:00 Transforming Point Cloud to 3D Mesh
00:36 3D Mesh Processing Software
01:38 3D Mesh Processing with Python
02:24 Step 1: Import libraries
02:43 Step 2: Preparing the data
05:52 Step 3: Choosing a 3D Modelling Strategy
06:02 Step 3.1: Ball Pivoting Algorithm
10:16 Step 3.2: Poisson Reconstruction
12:02 Step 4: 3D Real-Time Visualization of 3D Models (Python)
13:04 Step 5: 3D Data Export (I/O)
13:43 Step 6: 3D Model Visualization with CloudCompare
14:17 Step 7: 3D Mesh Level Of Detail (LoD) Creation
14:56 Conclusion: Point Cloud to Mesh
