Reconstruction and Analysis of 3D Scenes: From Irregularly Distributed 3D Points to Object Classes 1st Edition by Martin Weinmann – Ebook PDF Instant Download/Delivery: 3319292447, 978-3319292441
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Product details:
ISBN 10: 3319292447
ISBN 13: 978-3319292441
Author: Martin Weinmann
Reconstruction and Analysis of 3D Scenes: From Irregularly Distributed 3D Points to Object Classes 1st Edition: 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.
Reconstruction and Analysis of 3D Scenes: From Irregularly Distributed 3D Points to Object Classes 1st Edition Table of contents:
1 Introduction
1.1 Goals
1.2 Challenges and Main Contributions
1.3 Publications
1.4 The Proposed Framework
1.5 Book Outline
References
2 Preliminaries of 3D Point Cloud Processing
2.1 From the Real World to a Scene and Its Representation
2.2 On Points and Clouds, and Point Clouds
2.3 Point Cloud Acquisition
2.3.1 Passive Techniques
2.3.2 Active Techniques
2.4 Generation of 2D Image Representations for 3D Point Clouds
2.5 Point Quality Assessment
2.5.1 Influencing Factors and Related Work
2.5.2 Filtering Based on Intensity Information
2.5.3 Filtering Based on Range Reliability
2.5.4 Filtering Based on Local Planarity
2.5.5 A Qualitative Comparison of Different Measures
2.5.6 A Quantitative Comparison of Different Measures
2.6 Conclusions
References
3 A Brief Survey on 2D and 3D Feature Extraction
3.1 What Is a Feature?
3.2 2D Feature Extraction
3.2.1 Overall Appearance
3.2.2 Pixel Attributes
3.2.3 Texture
3.2.4 Shape
3.2.5 Local Features
3.3 3D Feature Extraction
3.3.1 Point Attributes
3.3.2 Shape
3.3.3 Local Features
3.4 Discussion
3.5 Conclusions
References
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