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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, various input datasets will be tested.
  • 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, various input datasets will be tested. (en)
Title
  • Automatic Generation of 3D Building Models from Point Clouds
  • Automatic Generation of 3D Building Models from Point Clouds (en)
skos:prefLabel
  • Automatic Generation of 3D Building Models from Point Clouds
  • Automatic Generation of 3D Building Models from Point Clouds (en)
skos:notation
  • RIV/68407700:21110/14:00219748!RIV15-MSM-21110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 4600
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21110/14:00219748
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • 3D Building Models; Point Clouds; Airborne Laser Scanning; LiDAR (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4DA47F8F32FF]
http://linked.open...v/mistoKonaniAkce
  • Ostrava
http://linked.open...i/riv/mistoVydani
  • Ostrava
http://linked.open...i/riv/nazevZdroje
  • Symposium GIS Ostrava 2014 Geoinformatics for Intelligent Transportation
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Halounová, Lena
  • Hron, Vojtěch
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1213-239X
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoká škola báňská - Technická univerzita Ostrava
https://schema.org/isbn
  • 978-80-248-3311-8
http://localhost/t...ganizacniJednotka
  • 21110
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