Reconstruction and Analysis of 3D Scenes

1. Front Matter

   Pages i-xxii

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2. Introduction

   • Martin Weinmann

   Pages 1-15

3. Preliminaries of 3D Point Cloud Processing

   • Martin Weinmann

   Pages 17-38

4. A Brief Survey on 2D and 3D Feature Extraction

   • Martin Weinmann

   Pages 39-53

5. Point Cloud Registration

   • Martin Weinmann

   Pages 55-110

6. Co-Registration of 2D Imagery and 3D Point Cloud Data

   • Martin Weinmann

   Pages 111-140

7. 3D Scene Analysis

   • Martin Weinmann

   Pages 141-224

8. Conclusions and Future Work

   • Martin Weinmann

   Pages 225-229

9. Back Matter

   Pages 231-233

   PDF

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.

• 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

“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)

• Inst.of Photogrammetry & Remote Sensing, Karlsruhe Institute of Technology, Karlsruhe, Germany

  Martin Weinmann

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