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

Author Florent Poux helps you leverage the potential of cutting-edge algorithms and 3D AI models to develop production-ready systems with a focus on automation. You'll learn how to define 3D systems, leverage powerful algorithms, and deploy 3D digital experiences for your industry (geospatial applications, self-driving cars, medical imaging, robotics, manufacturing, computer vision/graphics, and more).
This book dives deep into 3D data science with Python: building 3D workflows and wielding Python to implement your solutions. You'll learn:Core concepts and representations of 3D data (meshes, point clouds, voxels, CAD)How to load, manipulate, analyze, and visualize 3D data using powerful Python librariesAdvanced AI algorithms for 3D pattern recognition (supervised and unsupervised)3D reconstruction techniques to generate 3D datasetsAutomated 3D modeling and generative AI workflowsPractical applications of 3D data science in areas like computer vision/graphics, geospatial intelligence, scientific computing, robotics, and autonomous drivingHow to build end-to-end 3D Python apps through real-world projects
Florent Poux is an esteemed authority in the field of 3D data science who teaches and conducts research for top European universities. He's also head professor at the 3D Geodata Academy and innovation director for French Tech 120.