3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows

Florent Poux

Our physical world is grounded in three dimensions. To create technology that can reason about and interact with it, our data must be 3D too. This practical guide offers data scientists, engineers, and researchers a hands-on approach to working with 3D data using Python. From 3D reconstruction to 3D deep learning techniques, you’ll learn how to extract valuable insights from massive datasets, including point clouds, voxels, 3D CAD models, meshes, images, and more.

Dr. Florent Poux helps you leverage the potential of cutting-edge algorithms and spatial AI models to develop production-ready systems with a focus on automation. You’ll get the 3D data science knowledge and code to:

• Understand core concepts and representations of 3D data
• Load, manipulate, analyze, and visualize 3D data using powerful Python libraries
• Apply advanced AI algorithms for 3D pattern recognition (supervised and unsupervised)
• Use 3D reconstruction techniques to…