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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. >
- 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 generate 3D datasets
- Implement automated 3D modeling and generative AI workflows
- Explore practical applications in areas like computer vision/graphics, geospatial intelligence, scientific computing, robotics, and autonomous driving
- Build accurate digital environments that spatial AI solutions can leverage
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 companies.
About the author
Florent Poux is an esteemed authority in the field of 3D data science. He teaches and conducts research for top EU Universities. He is also the Head Professor of the 3D Geodata Academy and Innovation Director for FrenchTech120 Companies. With a decade of experience, Florent's expertise in Python and its applications to 3D data is unrivaled. His groundbreaking research and real-world contributions have garnered acclaim in academia and industries with several awards. His unique journey merges a deep academic perspective with a pragmatic view of creating innovative 3D products and solutions. Whether you're a coder, data scientist, engineer, or curious researcher, Florent's insights will propel you toward new frontiers and exciting opportunities in this rapidly evolving field.
