Deep Learning for 3D Vision: Algorithms and Applications
Deep Learning for 3D Vision: Algorithms and Applications

Deep Learning for 3D Vision: Algorithms and Applications


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About the Book

3D deep learning is a rapidly evolving field that has the potential to transform various industries. This book provides a comprehensive overview of the current state-of-the-art in 3D deep learning, covering a wide range of research topics and applications. It collates the most recent research advances in 3D deep learning, including algorithms and applications, with a focus on efficient methods to tackle the key technical challenges in current 3D deep learning research and adoption, therefore making 3D deep learning more practical and feasible for real-world applications.This book is organized into five sections, each of which addresses different aspects of 3D deep learning. Section I: Sample Efficient 3D Deep Learning, focuses on developing efficient algorithms to build accurate 3D models with limited annotated samples. Section II: Representation Efficient 3D Deep Learning, deals with the challenge of developing efficient representations for dynamic 3D scenes and multiple 3D modalities. Section III: Robust 3D Deep Learning, presents methods for improving the robustness and reliability of deep learning models in real-world applications. Section IV: Resource Efficient 3D Deep Learning, explores ways to reduce the computation cost of 3D models and improve their efficiency in resource-limited environments. Section V: Emerging 3D Deep Learning Applications, showcases how 3D deep learning is transforming industries and enabling new applications for healthcare and manufacturing.This collection is a valuable resource for researchers and practitioners interested in exploring the potential of 3D deep learning.


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Product Details
  • ISBN-13: 9789811286483
  • Publisher: World Scientific Publishing Company
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Sub Title: Algorithms and Applications
  • Width: 152 mm
  • ISBN-10: 9811286485
  • Publisher Date: 29 Sep 2024
  • Height: 229 mm
  • No of Pages: 500
  • Spine Width: 27 mm
  • Weight: 874 gr


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