How to Generate 3D Voxels from Point Clouds with Python (Tutorial) скачать в хорошем качестве

How to Generate 3D Voxels from Point Clouds with Python (Tutorial)

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 Tut...   Part 2:    • How to Build a 3D Interactive App in ...   3D Tutorial Series: https://learngeodata.eu/3d-tutorials/ 🙋 FOLLOW ME Linkedin:   / florent-poux-point-cloud   Github: https://github.com/florentPoux Medium:   / florentpoux   Research: https://scholar.google.com/citations?... WHO AM I? If we haven’t yet before - Hey 👋 I’m Florent, a professor-turned-entrepreneur, and I’ve somehow become one of the most-followed 3D expert. Through my videos here on this channel and my writing, I share evidence-based strategies and tools to help you be better coders and 3D innovators. 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