Reconstruction and Analysis of 3D Scenes

From Irregularly Distributed 3D Points to Object Classes
1. Auflage 2016
ISBN: 978-3-319-29244-1
Verlag: Springer International Publishing

Buch, Englisch, 233 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 5552 g

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.

Zielgruppe

Research

Autoren/Hrsg.

Weinmann, Martin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik

Inhaltsverzeichnis

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