Gentle Introduction to Global Point Cloud Registration using Open3D

Welcome to our channel, where we explore the fascinating realm of processing point cloud data using Open3D! In this video of our Open3D tutorial series, we delve into global registration algorithms to enhance your understanding on how through registration takes lidar data from different time points and matches it up together.
🧑🏻‍💻Code:
github.com/amnahhebrahim/Open...
📝 Tutorial Overview:
In this tutorial, we will focus on essential preprocessing techniques using Open3D. Here's a breakdown of the topics we'll cover:
In this article we will be:
1️⃣Looking at what Global Registration is
2️⃣ Work with Global Registration methods
🔨 Practical Implementation:
Throughout the tutorial, we'll provide practical examples and code snippets using Open3D to demonstrate each registration technique. You'll gain hands-on experience and insights into their implementation.
🔔 Stay tuned and join us on this exciting journey of mastering processing point cloud processing with Open3D!
🌐 Read the article:
/ gentle-introduction-to...
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[@Bapjuseyo]

thank you I got a lot of help from you! and I think your video's quality is very high than other Labs. I'm not good at computer, but I am well understood video's topic. I'm cheer you

[@AmnahsLab]

Thank you for your kind words! I’ll work even harder to make videos that can make these concepts easier to understand. Happy learning 👏🏻

[@JReinhoud]

Wow, really the best videos to explain point cloud processing and registration I have found yet.
I found one error though (if I understood everything correctly) @ 3:14 "to visualize the transformed source pointcloud together with the target pointcloud" which should be the other way around?

[@user-jf2vm3qc8b]

If I use a point cloud video other than the demo video, the registration is not done properly and I don't know why. Can you tell me why?

[@AmnahsLab]

Hello there, do you mean the demo data?