3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows (Paperback)
暫譯: 使用 Python 的 3D 數據科學：透過 3D 點雲工作流程構建精確的數位環境 (平裝本)

Poux, Florent

3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows (Paperback)
  • 出版商: O'Reilly
  • 出版日期: 2025-05-20
  • 售價: $2,800
  • 貴賓價: 9.8 折 $2,744
  • 語言: 英文
  • 頁數: 687
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1098161335
  • ISBN-13: 9781098161330
  • 相關分類: Python

    • 立即出貨 (庫存 < 4)

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商品描述

Learn to leverage Python for advanced 3D data processing, visualization, and AI-enabled workflows. Define 3D virtual realms, immersive environments, and digital automation to analyze physical objects. With a focus on practicality, this book offers data scientists, engineers, and developers a hands-on approach to working with 3D data. From 3D reconstruction to 3D deep learning techniques, you'll learn how to extract valuable insights from massive datasets, including point clouds, voxels, 3D meshes, images, and more.

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 libraries
  • Advanced AI algorithms for 3D pattern recognition (supervised and unsupervised)
  • 3D reconstruction techniques to generate 3D datasets
  • Automated 3D modeling and generative AI workflows
  • Practical applications of 3D data science in areas like computer vision/graphics, geospatial intelligence, scientific computing, robotics, and autonomous driving
  • How 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.

商品描述(中文翻譯)

學習如何利用 Python 進行高級 3D 數據處理、可視化和 AI 驅動的工作流程。定義 3D 虛擬領域、沉浸式環境和數位自動化，以分析實體物體。本書專注於實用性，為數據科學家、工程師和開發人員提供了一種動手操作的方式來處理 3D 數據。從 3D 重建到 3D 深度學習技術，您將學會如何從龐大的數據集中提取有價值的見解，包括點雲、體素、3D 網格、圖像等。

作者 Florent Poux 幫助您利用尖端算法和 3D AI 模型的潛力，開發以自動化為重點的生產就緒系統。您將學會如何定義 3D 系統、利用強大的算法，並為您的行業（地理空間應用、自駕車、醫學影像、機器人技術、製造、計算機視覺/圖形等）部署 3D 數位體驗。

本書深入探討使用 Python 的 3D 數據科學：構建 3D 工作流程並運用 Python 實現您的解決方案。您將學到：

- 3D 數據的核心概念和表示（網格、點雲、體素、CAD）
- 如何使用強大的 Python 函式庫加載、操作、分析和可視化 3D 數據
- 用於 3D 模式識別的高級 AI 算法（監督式和非監督式）
- 生成 3D 數據集的 3D 重建技術
- 自動化 3D 建模和生成式 AI 工作流程
- 3D 數據科學在計算機視覺/圖形、地理空間情報、科學計算、機器人技術和自動駕駛等領域的實際應用
- 如何通過實際項目構建端到端的 3D Python 應用程式

Florent Poux 是 3D 數據科學領域的權威，為頂尖歐洲大學教授和進行研究。他也是 3D Geodata Academy 的首席教授以及法國科技 120 的創新總監。

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