
Florent Poux
Contributor at Towards Data Science
I help engineers, researchers, professionals and companies develop #3D #AI skills, workflows, or products. Specialty in #pointcloud processing
Articles
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3 weeks ago |
medium.com | Florent Poux
3D PythonLearn to convert any image into detailed 3D models using AI and Python. No specialized hardware is required — just follow this step-by-step guide. Imagine transforming any photograph in your collection into an immersive 3D model that you can rotate, explore, and even 3D print — all without specialized equipment. Until recently, creating 3D models required expensive hardware setups, multiple camera angles, or painstaking manual modeling.
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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.
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2 months 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.
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Mar 8, 2025 |
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?
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Feb 24, 2025 |
towardsdatascience.com | Florent Poux
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RT @TDataScience: Unlock the potential of point cloud data with Graph Clustering. This method’s scalability and precision make it ideal for…

RT @TDataScience: Graph-based Euclidean clustering is reshaping point cloud segmentation by automating processes, reducing noise, and offer…

🎉 A Brand New Tutorial! Very Deep one, for 3D Clustering Mastery: How to Segment Point Clouds with Graph Theory https://t.co/8vvnLQlWFq