Authors:
- 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
- Includes supplementary material: sn.pub/extras
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (7 chapters)
-
Front Matter
-
Back Matter
About this book
Keywords
- 2D Feature Extraction
- 3D Feature Extraction
- 3D Scene Analysis and Interpretation
- Classification
- Computer Vision
- Feature Importance and Selection
- Filtering
- Laser Scanning
- Lidar
- Photogrammetry
- Point Cloud
- Point Cloud Registration
- Range Camera
- Time-of-Flight
- Visual Features
- remote sensing/photogrammetry
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)
Authors and Affiliations
-
Inst.of Photogrammetry & Remote Sensing, Karlsruhe Institute of Technology, Karlsruhe, Germany
Martin Weinmann
Bibliographic Information
Book Title: Reconstruction and Analysis of 3D Scenes
Book Subtitle: From Irregularly Distributed 3D Points to Object Classes
Authors: Martin Weinmann
DOI: https://doi.org/10.1007/978-3-319-29246-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-29244-1Published: 31 March 2016
Softcover ISBN: 978-3-319-80521-4Published: 20 April 2018
eBook ISBN: 978-3-319-29246-5Published: 17 March 2016
Edition Number: 1
Number of Pages: XXII, 233
Number of Illustrations: 12 b/w illustrations, 69 illustrations in colour
Topics: Image Processing and Computer Vision, Remote Sensing/Photogrammetry, Artificial Intelligence