From the NXT BLD 2026 stage and the reality capture panel: the local-first cognition stack for 3D spatial AI for AEC. Smart point cloud in, IFC and decisions out, in three days, not six weeks.
3D Spatial AI for AEC: The Offline Stack That Replaces 6 Weeks of BIM Work Read More »
By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 21 April 2025 The 3D Reconstruction pipeline, to get from 2D photographs to 3D models follows a structured path. This path consists of distinct steps that build upon each other to transform flat images into spatial […]
3D Reconstruction Pipeline: Photo to Model Workflow Guide Read More »
By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 10 March 2025 3D sensors capture depth as well as colour, and they split into two families: active sensors that emit their own signal, such as LiDAR and structured light, and passive sensors that infer depth […]
3D Sensors Guide: Active vs. Passive Capture Read More »
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 […]
How-to Guide on 3D Reconstruction with Photogrammetry Read More »
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 […]
Julia Tutorial for 3D Data Science Read More »
By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 9 December 2020 Scale AI released a new LiDAR point cloud dataset, and accelerate the growth of Autonomous Driving research. Point Cloud Data labelling Data labelling, also called data annotation/tagging/classification, is the process of tagging (i.e. […]
Free LiDAR point cloud for self-driving cars Read More »
