rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Reconstruction and Analysis of 3D Scenes
    sub title: From Irregularly Distributed 3D Points to Object Classes
  name:
    name part: Weinmann, Martin.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    edition: 1st ed. 2016.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXII, 233 p. 81 illus., 69 illus. in color. online resource.
  abstract: This unique text/reference presents a detailed review of the processing and analysis of 3D point clouds. A fully automated framework is introduced for the complete processing workflow, incorporating the filtering of noisy data, the extraction of appropriate features, the alignment of 3D point clouds in a common coordinate frame, the enrichment of 3D point cloud data with other types of information, and the semantic interpretation of 3D point clouds. 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, addressing neighborhood selection, feature extraction, feature selection, and classification Covers each aspect of a typical end-to-end processing workflow, from raw 3D point cloud data to semantic objects in the scene This clearly-structured and accessible work will be of great interest to a broad audience, from students at undergraduate or graduate level, to lecturers, practitioners and researchers in photogrammetry, remote sensing, computer vision and robotics.
  table of contents: 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.
  note: by Martin Weinmann.
  subject:
    topic: Computer science
  subject:
    topic: Artificial intelligence
  subject:
    topic: Image processing
  subject:
    topic: Remote sensing
  subject:
    topic: Computer Science
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Remote Sensing/Photogrammetry
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: TA1637-1638
  classification: TA1634
  classification: 006.6
  classification: 006.37
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319292465
  identifier: http://dx.doi.org/10.1007/978-3-319-29246-5
  record info:
    record creation date: 160317
    record change date: 20160317163813.0
    record identifier: 978-3-319-29246-5