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Deep Learning for 3D Point Clouds by Wei Gao Hardcover Book

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Características del artículo

Estado
Nuevo: Libro nuevo, sin usar y sin leer, que está en perfecto estado; incluye todas las páginas sin ...
ISBN-13
9789819795697
Book Title
Deep Learning for 3D Point Clouds
ISBN
9789819795697

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Product Identifiers

Publisher
Springer
ISBN-10
9819795699
ISBN-13
9789819795697
eBay Product ID (ePID)
15071782619

Product Key Features

Number of Pages
Xvi, 322 Pages
Publication Name
Deep Learning for 3d Point Clouds
Language
English
Subject
Computer Graphics, Computer Vision & Pattern Recognition, Virtual Worlds
Publication Year
2024
Type
Textbook
Subject Area
Computers
Author
Ge Li, Wei Gao
Format
Hardcover

Dimensions

Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Dewey Edition
23
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
006.37
Table Of Content
Chapter 1. Introduction to 3D Point Clouds: Datasets and Perception.- Chapter 2. Learning Basics for 3D Point Clouds.- Chapter 3. Deep Learning-based Point Cloud Enhancement I.- Chapter 4. Deep Learning-based Point Cloud Enhancement II.- Chapter 5. Deep Learning-based Point Cloud Analysis I.- Chapter 6. Deep Learning-based Point Cloud Analysis II.- Chapter 7. Point Cloud Pre-trained Models and Large Models.- Chapter 8. Point Cloud-Language Multi-modal Learning.- Chapter 9. Open Source Projects for 3D Point Clouds.- Chapter 10. Typical Engineering Applications of 3D Point Clouds.- Chapter 11. FutureWork on Deep Learning-based Point Cloud Technologies.
Synopsis
As an efficient 3D vision solution, point clouds have been widely applied into diverse engineering scenarios, including immersive media communication, autonomous driving, reverse engineering, robots, topography mapping, digital twin city, medical analysis, digital museum, etc. Thanks to the great developments of deep learning theories and methods, 3D point cloud technologies have undergone fast growth during the past few years, including diverse processing and understanding tasks. Human and machine perception can be benefited from the success of using deep learning approaches, which can significantly improve 3D perception modeling and optimization, as well as 3D pre-trained and large models. This book delves into these research frontiers of deep learning-based point cloud technologies. The subject of this book focuses on diverse intelligent processing technologies for the fast-growing 3D point cloud applications, especially using deep learning-based approaches. The deep learning-based enhancement and analysis methods are elaborated in detail, as well as the pre-trained and large models with 3D point clouds. This book carefully presents and discusses the newest progresses in the field of deep learning-based point cloud technologies, including basic concepts, fundamental background knowledge, enhancement, analysis, 3D pre-trained and large models, multi-modal learning, open source projects, engineering applications, and future prospects. Readers can systematically learn the knowledge and the latest developments in the field of deep learning-based point cloud technologies. This book provides vivid illustrations and examples, and the intelligent processing methods for 3D point clouds. Readers can be equipped with an in-depth understanding of the latest advancements of this rapidly developing research field.
LC Classification Number
TA1634

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  • r***r (2961)- Votos emitidos por el comprador.
    Últimos 6 meses
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    Book arrived today, 2 days before deadline given by the seller. Well-packaged & in good condition. Price was very competitive, & the book was accurately listed. Great communication. I appreciate the seller getting back to me when I was having trouble tracking the book's delivery progress. Apparently there were 2 different tracking numbers - one in Canada & the other in the U.S., since it was initially shipped from Canada. Thank you very much for your quick response & helpful information.
  • e***_ (15)- Votos emitidos por el comprador.
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    Seller handles a massive inventory so I give them grace on the slow processing and shipping. They were very communicative and prompt with their response when I messaged in asking about it. Book was in good condition as described. Small ding on the page edges which wasn't mentioned, but that's fairly common even at your typical book store. Still a good value and I'd buy from them again.
  • 0***i (5)- Votos emitidos por el comprador.
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    The first item arrived with some damage to the inside back cover, but the seller responded immediately, assuring me they’d provide a replacement, and even told me I could keep the original. They were upfront about a short delay, and gave a clear estimated ship date, and followed up right on time once it shipped. The replacement arrived in perfect condition and exactly as described. I really appreciated their transparency and professionalism. Would definitely buy from them again!