3D Geodata Academy

Point Cloud

Tutorials that focus on 3D Point Cloud Processing.

This comprehensive collection of tutorials covers everything you need to know about processing 3D point clouds, including algorithms, tools, and best practices. Whether you’re a beginner or an expert, these open tutorials will help you master the art of 3D point cloud processing and take your skills to the next level. Check out our tutorials now and start exploring the world of 3D point cloud processing!

3D Point Cloud Vectorization

Vectorization of 3D Point Cloud for LiDAR City Models

By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 18 January 2024 3D Point Cloud Vectorization for LiDAR City Models This hands-on approach is standalone and covers the process of LiDAR Vectorization. We then focus on City Model Automatic Generation (LoD 0) in 5 main […]

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3D Shape Detection for Indoor Point Clouds

3D Shape Detection for Indoor Modelling

By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 4 October 2023 A 10-step Python Guide to Automate 3D Shape Detection, Segmentation, Clustering, and Voxelization for Space Occupancy 3D Modeling of Indoor Point Cloud Datasets. If you have experience with point clouds or data analysis, […]

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3D Deep Learning with Python by Florent Poux

3D Deep Learning with Python: Point Cloud Data Preparation

By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 30 June 2023 3D Deep Learning Tutorial: Overview đŸ¤– This article delves into the fascinating world of 3D deep learning and provides a comprehensive tutorial on PointNet data preparation using 3D Python. With the rapid advancement […]

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3D Reconstruction with Photogrammetry

How-to Guide on 3D Reconstruction with Photogrammetry

By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 5 January 2023 How-to Guide on 3D Reconstruction with Photogrammetry A full hands-on 3D Reconstruction tutorial using 3D Photogrammetry, Reality Capture, Meshroom, and Blender. What is 3D Reconstruction, in brief? The times we live in are super […]

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Julia Tutorial for 3D Data Science

By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 30 September 2022 Julia Tutorial for 3D Data Science Discover the make-it-all alternative to Python, Matlab, R, Perl, Ruby, and C through a 6-step workflow for 3D point cloud and mesh processing. If you are always on […]

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Point Cloud Processing for geometric and semantic interpretation

By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 5 March 2022 A Story of Point Clouds and Perception Foreword on the 3D conference This 9th International Workshop 3D-ARCH focused on “3D Virtual Reconstruction and Visualization of Complex Architectures”. It started in 2005 in Venice and […]

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point cloud segmentation

Learn 3D point cloud segmentation with Python

By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 14 May 2021 Learn 3D point cloud segmentation with Python A complete python tutorial to automate point cloud segmentation and 3D shape detection using multi-order RANSAC and unsupervised clustering (DBSCAN). If you have worked with point […]

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3D Point Cloud visualisation

Visualise Massive point cloud in Python

By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 16 February 2021 Visualise Massive point cloud in Python. Point clouds past the 10 million point mark are too dense for classical visualisation libraries such as Matplotlib, so this tutorial uses PPTK, which relies on an […]

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