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Automatic Generation of 3D Building Models from Point Clouds

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F15%3A00227307" target="_blank" >RIV/68407700:21110/15:00227307 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.springer.com/978-3-319-11462-0" target="_blank" >http://www.springer.com/978-3-319-11462-0</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-11463-7_8" target="_blank" >10.1007/978-3-319-11463-7_8</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic Generation of 3D Building Models from Point Clouds

  • Original language description

    Point cloud is a product of laser scanning (terrestrial/airborne) or it can be derived from automatic image matching. Both techniques are very modern and progressive methods of non-selective collection of spatial data. The representation of buildings through point cloud is not appropriate for many applications. Handling with a set of data points, covering large areas is also very hardware consuming. For these reasons, it is suitable to represent individual buildings as spatial objects, called 3D models.This paper is a review of fully automatic generation of 3D building models from point clouds. It compares the solutions of various academic institutes and analyzes current commercial software products that process this task. In this work, data point clouds collected by airborne laser scanning will be used as an input. A major influence on the generation of 3D building models have the density and quality of the point cloud, which are determined by scanning parameters. For this reason, va

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Geoinformatics for Intelligent Transportation

  • ISBN

    978-3-319-11462-0

  • ISSN

    1863-2351

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    109-119

  • Publisher name

    Springer International Publishing AG

  • Place of publication

    Cham

  • Event location

    Ostrava

  • Event date

    Jan 27, 2014

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000360174300008