Reconstruction and Analysis of 3D Scenes

From Irregularly Distributed 3D Points to Object Classes

Martin Weinmann (Autor)

Buch | Softcover

XXII, 233 Seiten

2018 | 1. Softcover reprint of the original 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-80521-4 (ISBN)

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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.

Introduction.- Preliminaries of 3D Point Cloud Processing.- A Brief Survey on 2D and 3D Feature Extraction.- Point Cloud Registration.- Co-Registration of 2D Imagery and 3D Point Cloud Data.- 3D Scene Analysis.- Conclusions and Future Work.

"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)

Erscheint lt. Verlag	20.4.2018
Zusatzinfo	XXII, 233 p. 81 illus., 69 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	4393 g
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie
Schlagworte	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 • Remote Sensing/Photogrammetry • time-of-flight • Visual Features
ISBN-10	3-319-80521-5 / 3319805215
ISBN-13	978-3-319-80521-4 / 9783319805214
Zustand	Neuware