Obarads/Point_Cloud_Tutorial
This repository contains tutorial code and supplementary note for point cloud processing.
This project provides practical, step-by-step guidance for working with 3D point cloud data. It takes raw 3D point cloud scans or datasets and demonstrates techniques like downsampling, normal estimation, and object reconstruction. It is ideal for researchers, students, or engineers looking to understand and apply point cloud processing algorithms for tasks like 3D scanning, robotics, or computer vision.
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Use this if you need to learn the fundamental algorithms for processing 3D point cloud data, from basic operations to more advanced tasks like object reconstruction and deep learning applications.
Not ideal if you are looking for a plug-and-play software application to immediately process point clouds without delving into the underlying code and algorithms.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Aug 05, 2023
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