Automatic Generation of 3D Building Models from Point Clouds
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Automatic Generation of 3D Building Models from Point Clouds
Popis výsledku v původním jazyce
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
Název v anglickém jazyce
Automatic Generation of 3D Building Models from Point Clouds
Popis výsledku anglicky
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
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
IN - Informatika
OECD FORD obor
—
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Geoinformatics for Intelligent Transportation
ISBN
978-3-319-11462-0
ISSN
1863-2351
e-ISSN
—
Počet stran výsledku
11
Strana od-do
109-119
Název nakladatele
Springer International Publishing AG
Místo vydání
Cham
Místo konání akce
Ostrava
Datum konání akce
27. 1. 2014
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
000360174300008