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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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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
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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