Florent Poux

France

I help engineers, researchers, professionals and companies develop #3D #AI skills, workflows, or products. Specialty in #pointcloud processing

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Articles

How to Generate Synthetic 3D Point Cloud Rooms with Python

1 month ago | medium.com | Florent Poux

3D PythonTutorial to generate labeled 3D point cloud (.ply) rooms with Python for data augmentation. Practical Python code examples using NumPy and Open3D. Collecting 3D point cloud data takes time. This means it can be expensive, time-consuming, and prone to generating massive datasets.
Master the 3D Reconstruction Process: A Step-by-Step Guide

1 month ago | towardsdatascience.com | Florent Poux

Privacy Preference CenterWhen you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used to make the site work as you expect it to. The information does not usually directly identify you, but it can give you a more personalized web experience. Because we respect your right to privacy, you can choose not to allow some types of cookies.
3D Scanning: Your Complete Sensor Guide

2 months ago | towardsai.net | Florent Poux

Last Updated on March 8, 2025 by Originally published on Towards AI. Comprehensive 3D Scanning manual explaining Active/Passive sensors such as LiDAR and photogrammetry for 3D Reconstruction. This member-only story is on us. Upgrade to access all of Medium. Complete visual guide to 3D sensor technologies, from basic principles to future trends, showing relationships between different sensing methods. © F. Poux“3D sensing” can sound a bit… dry, right?
How To Generate GIFs from 3D Models with Python

2 months ago | towardsdatascience.com | Florent Poux
11 Methods and Hardware Tools for 3D Scanning and Data Capture

Jan 31, 2025 | towardsdatascience.com | Florent Poux

3D ToolsThe toolbox for data curation and 3D scanning: LiDAR, mesh, city models, 3D assets, hardware recommendations, photogrammetry, and AI methods for 3D reconstruction. I’ve been spending a lot of time lately thinking about the tools we use in 3D data processing and how they shape both our work and our thinking. I was reminded of a quote I love:“A good tool improves the way you work.
11 Methods and Hardware Tools for 3D Scanning and Data Capture

Jan 31, 2025 | medium.com | Florent Poux

3D ToolsThe toolbox for data curation and 3D scanning: LiDAR, mesh, city models, 3D assets, hardware recommendations, photogrammetry, and AI methods for 3D reconstruction. Florent Poux, Ph.D.·FollowPublished inTowards Data Science·15 min read·--The 3D Master Toolbox Chapter 1: Which Hardware? Which Methods? Which Data Sources? © F. PouxI’ve been spending a lot of time lately thinking about the tools we use in 3D data processing and how they shape both our work and our thinking.
3D Data Clustering with Graph Theory: Complete Guide

Dec 2, 2024 | towardsdatascience.com | Florent Poux

3D PythonPython Tutorial for Euclidean Clustering of 3D Point Clouds with Graph Theory. Fundamental concepts and sequential workflow for unsupervised segmentation. Aside from sounding cool, why do I take three weeks off to write a Python tutorial on graph theory for 3D data? The short answer is that it is extremely useful for understanding 3D scenes. It can transform how efficiently you process 3D datasets for decision-making scenarios. But there are many challenges to be aware of.
Transform Point Clouds into 3D Meshes: A Python Guide

Nov 1, 2024 | towardsdatascience.com | Florent Poux

3D PythonLearn how to generate 3D meshes from point cloud data with Python. This tutorial culminates in a 3D Modelling app with the Marching Cubes algorithm. The world of 3D data is often a fragmented landscape. There are point clouds, which are rich in detail but lack surface information. There are 3D meshes, which define surfaces explicitly but are often complex to create.
Learn to Visualize Massive Point Clouds + 3D Mesh with No-Code Tools

Oct 22, 2024 | towardsdatascience.com | Florent Poux

3D Point CloudA no-code tutorial to manage massive point clouds (250+ million points) and 3D meshes with 2 open-source solutions. Visualizing massive point clouds can be a real headache. If you struggle to handle massive point clouds — I’m talking billion-point scale — or massive 3D meshes with many triangles, handling various file formats, and you don’t have the coding skills to automate everything, then I have a solution for you.
3D Generative AI: 11 Tools (Cloud) for 3D Model Generation

Sep 30, 2024 | learngeodata.eu | Florent Poux

This article compares the top 11 cloud tools that leverage 3D Generative AI. These 3D solutions simplify workflows and open new avenues for creative expression. These tools include Meshy, 3D AI Studio, Masterpiece X, Alpha 3D, Sloid, 3DFY AI, Spline, Luma AI, Rococo Vision, Ponzu, and Deep Motion. Each tool offers unique features like text-to-3D, image-to-3D, animation generation, texture mapping, and motion capture, significantly enhancing the efficiency and accessibility of creating 3D models.