From photos to faithful 3D models. Step-by-step pipelines for photogrammetry, multi-view stereo, and neural reconstruction that turn ordinary cameras into powerful 3D capture systems.
A folder of phone photos already holds a 3D model. This complete guide walks 3D reconstruction in Python end to end, from parallax and photogrammetry through AI depth to Gaussian splatting, with the real cost of each spelled out plainly.
3D Reconstruction Complete Guide Read More »
By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 22 September 2025 Generate perfect multi-view 3D training data without cameras. Mathematical algorithms create optimal viewpoints for Gaussian Splatting in minutes, not days. Stop Shooting Photos for 3D AI Training Data (Use This Instead) I have […]
Multi-View Engine for 3D Generative AI Models (Python Tutorial) 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 29 March 2025 3D Gaussian Splatting reconstructs a scene from a set of images or a video by representing it as a cloud of coloured Gaussians, each with a position, a covariance, a colour and an […]
3D Gaussian Splatting: Hands-on Course for Beginners 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 27 January 2025 This article provides the best recommendations and directions for every dataset, tool, software, hardware, code setup, and library for 3D Reconstruction Methods. This is the first Chapter of the 3D Master Toolbox, which […]
3D Reconstruction Methods, Hardware and Tools for 3D Data Processing Read More »
By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 21 June 2024 This Live Course / Workshop series will give you a linear, hands-on solution for turning a monocular 2D Image to 3D Model. This means that you will be able to take any AI-generated […]
2D Image to 3D Model 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 »
