This 3D Python Tutorial targets the 3D Data Modelling Workflow to transform 3D Point Clouds into 3D Voxel Datasets. Ultimately, you can ingest large 3D Point Clouds, Generate 3D Voxel Datasets and Push to 3D Visualization Software.
🍇 RESOURCES
3D Point Cloud Feature Extraction with Python:
Part 1: • 3D Point Cloud Feature Extraction Tutorial...
Part 2: • How to Build a 3D Interactive App in Pytho...
3D Tutorial Series: https://learngeodata.eu/3d-tutorials/
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CHAPTERS 📘
[00:00] Introduction to 3D Voxel Modelling
[00:58] 1. Python Environment Initialization
[02:06] 2. Point Cloud Dataset Preparation
[03:30] 3. Creating a Voxel Grid
[09:45] 4. Generating a single Voxel Entity
[11:10] 5. Automation for 3D Voxels Generation
[14:19] 6. Classical Normals Computation
[15:10] 7. 3D Voxel Dataset Post-Processing
[17:26] 8. 3D Voxel Dataset Exports
[19:36] 9. Other Approaches & Perspectives
[25:00] Conclusion: 3D Point Cloud to 3D Voxels