Florent Poux - Profile and Journalist Details
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Get connected with journalists todayFlorent Poux
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Contributor, Towards Data Science
France
Beats
Biography
I am a founder and entrepreneur focused on coding and educating engineers on leveraging AI and 3D Data Science. Also Professor, I still lead research teams and teach computer vision tracks at various universities, But my current aim is to ensure we, as humans, are rightly equipped with the knowledge and skills to tackle 3D Data Processing.
Entrepreneurship , Machine Learning, Academia, AI, Python , Research, Deep Learning , 3D Data, Data Science , Coding
General news or politics.
Content
By Florent Poux| Medium@ 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.
By Florent Poux| Towards Data Science@ 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.
By Florent Poux| Towards AI@ 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?
Company Info
Towards Data Science
Towards Data Science is an online publication and platform dedicated to sharing knowledge about data science. Founded in 2016 and based in Toronto, Canada, it operates on Medium, allowing experts to publish articles on various topics, including machine learning, programming, and data visualization. The platform serves as a community-driven space where professionals and enthusiasts can contribute articles, tutorials, and insights. It also features a podcast that includes interviews with STEM professionals, discussing technical topics and ethical considerations in the field. Towards Data Science fosters collaboration and learning among its community members, promoting a deeper understanding of data science and its implications.
Founded: 2016