3D Point Cloud Processing (OS Edition)
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- Опубліковано 9 лют 2025
- This tutorial aims to provide a simple 3D Point Cloud Processing Workflow for quickly preparing your datasets for first-hand communication.
The no-editing/no-cuts edition shows all the tips and tricks under the hood.
You'll learn the basics of creating and processing point cloud data using CloudCompare. We will also discuss the applications of point cloud technology in fields such as surveying, robotics, and virtual reality.
This video will provide valuable insights into 3D point cloud workflows, whether you're a novice or an expert.
🍇 RESOURCES
3D Point Cloud Feature Extraction with Python:
Part 1: • 3D Point Cloud Feature...
Part 2: • How to Build a 3D Inte...
3D Tutorial Series: learngeodata.e...
3D Dataset and Code (GDrive): drive.google.c...
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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.
Great video Florent!
Thanks!
Great video!
Great Video dr. Florent. How can we find these datasets for practicing
Thanks! you can find them through learngeodata.eu
What would you recommend for segmentation of a point cloud captured in a tunnel?
In a tunnel, I would use a Shape detection approch to isolate the tunnel (E.g RANSAC with Cylinder shape), and then, I would detect the ground with RANSAC again (or CSF), and finally work on isolating the individual remaining elements. What do you think?
This is not like the half of work of GS framework?... Or in case, something similar to Nerf... The Nerf IS not OS? D:
Nerf and Gaussian Splatting are coming up! But here, it stands for Open Software Edition, so it would take it after the creation of the dataset