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Titlebook: Reconstruction and Analysis of 3D Scenes; From Irregularly Dis Martin Weinmann Book 2016 Springer International Publishing Switzerland 2016

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發(fā)表于 2025-3-21 16:14:03 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Reconstruction and Analysis of 3D Scenes
副標題From Irregularly Dis
編輯Martin Weinmann
視頻videohttp://file.papertrans.cn/825/824243/824243.mp4
概述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 proc
圖書封面Titlebook: Reconstruction and Analysis of 3D Scenes; From Irregularly Dis Martin Weinmann Book 2016 Springer International Publishing Switzerland 2016
描述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.
出版日期Book 2016
關鍵詞2D Feature Extraction; 3D Feature Extraction; 3D Scene Analysis and Interpretation; Classification; Comp
版次1
doihttps://doi.org/10.1007/978-3-319-29246-5
isbn_softcover978-3-319-80521-4
isbn_ebook978-3-319-29246-5
copyrightSpringer International Publishing Switzerland 2016
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Book 2016pts 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.
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發(fā)表于 2025-3-22 11:45:29 | 只看該作者
Introduction,s), (ii) data fusion in terms of an enrichment of existing 3D point cloud data by adding external data from multiple, but complementary data sources, and (iii) a semantic reasoning based on all available information. We explain the challenges of recent research in this domain and present our scienti
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發(fā)表于 2025-3-22 14:34:04 | 只看該作者
Preliminaries of 3D Point Cloud Processing,nd subsequently provide basic definitions for the most important terms which are important to consider the contents presented in this book in the global context. Based on these explanations, we focus on the use of 3D point cloud data and explain how 3D point cloud data may be acquired and how 3D poi
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發(fā)表于 2025-3-22 20:46:23 | 只看該作者
A Brief Survey on 2D and 3D Feature Extraction,lighten these issues in the context of 2D imagery and 3D point cloud data. Hence, we address fundamental ideas by focusing on several questions: How can we detect an object? How can we describe an object? What makes an object memorable? According to which criteria can we recognize the same object or
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3D Scene Analysis,mework composed of four components addressing (i) neighborhood selection, (ii) feature extraction, (iii) feature selection, and (iv) classification. For each component, we consider a variety of approaches which allow applicability in terms of simplicity and reproducibility, so that end-users may eas
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