Obarads/Point_Cloud_Tutorial

This repository contains tutorial code and supplementary note for point cloud processing.

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Experimental

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.

No commits in the last 6 months.

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.

3D-scanning robotics computer-vision spatial-data-analysis autonomous-systems
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 6 / 25

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12

Forks

1

Language

Jupyter Notebook

License

MIT

Last pushed

Aug 05, 2023

Commits (30d)

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