Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Sebastopol, CA
O'REILLY MEDIA
2025
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781098161323/?ar |
| Zusammenfassung: | 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 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. |
| Beschreibung: | Includes index |
| Umfang: | 1 online resource color illustrations |
| ISBN: | 9781098161309 1098161300 |
Internformat
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| spelling | Poux, Florent VerfasserIn aut 3D data science with Python building accurate digital environments with 3D point cloud workflows Florent Poux ; forword by Dr. Uwe Bacher Sebastopol, CA O'REILLY MEDIA 2025 1 online resource color illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index 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 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. Artificial intelligence Python (Computer program language) Machine learning Intelligence artificielle Python (Langage de programmation) Apprentissage automatique artificial intelligence 1098161335 Erscheint auch als Druck-Ausgabe 1098161335 |
| spellingShingle | Poux, Florent 3D data science with Python building accurate digital environments with 3D point cloud workflows Artificial intelligence Python (Computer program language) Machine learning Intelligence artificielle Python (Langage de programmation) Apprentissage automatique artificial intelligence |
| title | 3D data science with Python building accurate digital environments with 3D point cloud workflows |
| title_auth | 3D data science with Python building accurate digital environments with 3D point cloud workflows |
| title_exact_search | 3D data science with Python building accurate digital environments with 3D point cloud workflows |
| title_full | 3D data science with Python building accurate digital environments with 3D point cloud workflows Florent Poux ; forword by Dr. Uwe Bacher |
| title_fullStr | 3D data science with Python building accurate digital environments with 3D point cloud workflows Florent Poux ; forword by Dr. Uwe Bacher |
| title_full_unstemmed | 3D data science with Python building accurate digital environments with 3D point cloud workflows Florent Poux ; forword by Dr. Uwe Bacher |
| title_short | 3D data science with Python |
| title_sort | 3d data science with python building accurate digital environments with 3d point cloud workflows |
| title_sub | building accurate digital environments with 3D point cloud workflows |
| topic | Artificial intelligence Python (Computer program language) Machine learning Intelligence artificielle Python (Langage de programmation) Apprentissage automatique artificial intelligence |
| topic_facet | Artificial intelligence Python (Computer program language) Machine learning Intelligence artificielle Python (Langage de programmation) Apprentissage automatique artificial intelligence |
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