Reconstruction and Analysis of 3D Scenes

From Irregularly Distributed 3D Points to Object Classes

Authors: Weinmann, Martin

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  • Reviews the latest research on 3D point cloud generation, feature extraction, point cloud registration, feature selection and 3D scene analysis
  • Introduces a new framework for advanced point cloud processing from raw data to semantic objects
  • Includes detailed evaluations of methods on various benchmark datasets,  in order to provide objective results and conclusions
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eBook 101,14 €
price for Spain (gross)
  • ISBN 978-3-319-29246-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-29244-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-80521-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This unique work presents a detailed review of the processing and analysis of 3D point clouds. A fully automated framework is introduced, incorporating each aspect of a typical end-to-end processing workflow, from raw 3D point cloud data to semantic objects in the scene. For each of these components, the book describes the theoretical background, and compares the performance of the proposed approaches to that of current state-of-the-art techniques. Topics and features: reviews techniques for the acquisition of 3D point cloud data and for point quality assessment; explains the fundamental concepts for extracting features from 2D imagery and 3D point cloud data; proposes an original approach to keypoint-based point cloud registration; discusses the enrichment of 3D point clouds by additional information acquired with a thermal camera, and describes a new method for thermal 3D mapping; presents a novel framework for 3D scene analysis.

Reviews

“The book … is complete summary for understanding the reconstruction of 3D scenes through the use of point clouds. … The ‘book describes the theoretical background, and compares the performance of the proposed approaches to that of current state-of-the- art techniques.’ This book is highly useful to those unfamiliar with laser scanner data gathering including Lidar and would serve as a good first choice to educators teaching about these technologies and processing applications.” (Jeff Thurston, 3D Visualization World Magazine, 3dvisworld.com, October, 2016)


Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook 101,14 €
price for Spain (gross)
  • ISBN 978-3-319-29246-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-29244-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-80521-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Reconstruction and Analysis of 3D Scenes
Book Subtitle
From Irregularly Distributed 3D Points to Object Classes
Authors
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-29246-5
DOI
10.1007/978-3-319-29246-5
Hardcover ISBN
978-3-319-29244-1
Softcover ISBN
978-3-319-80521-4
Edition Number
1
Number of Pages
XXII, 233
Number of Illustrations
12 b/w illustrations, 69 illustrations in colour
Topics