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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 various registration algorithms to enhance your understanding on how through registration takes lidar data and makes useful things from it. 🧑🏻💻Code: https://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: 1️⃣ Work with Iterative Closest Point for Point-to-point 2️⃣ Tinker with Iterative Closest Point for Point-to-plane 🔨 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-point-cloud-registr... 📲 Follow us on: Medium: / amnahhmohammed LinkedIn: 🔗 / amna-ebrahim-a948151b6 Don't forget to like, share, and subscribe to our channel for more insightful tutorials on point cloud processing, analysis, and visualization. 🚀🌟