Reconstructing Façade Details Using MLS Point Clouds and Bag-of-Words Approach

Thomas Froech, Olaf Wysocki, Ludwig Hoegner, Uwe Stilla

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the reconstruction of façade elements, the identification of specific object types remains challenging and is often circumvented by rectangularity assumptions or the use of bounding boxes. We propose a new approach for the reconstruction of 3D façade details. We combine mobile laser scanning (MLS) point clouds and a pre-defined 3D model library using a Bag of words (BoW) concept, which we augment by incorporating semi-global features. We conduct experiments on the models superimposed with random noise and on the TUM-FAÇADE dataset (Wysocki et al. , 2023). Our method demonstrates promising results, improving the conventional BoW approach. It holds the potential to be utilized for more realistic facade reconstruction without rectangularity assumptions, which can be used in applications such as testing automated driving functions or estimating façade solar potential.

Original languageEnglish
Title of host publicationRecent Advances in 3D Geoinformation Science - Proceedings of the 18th 3D GeoInfo Conference
EditorsThomas H. Kolbe, Andreas Donaubauer, Christof Beil
PublisherSpringer Science and Business Media Deutschland GmbH
Pages337-355
Number of pages19
ISBN (Print)9783031436987
DOIs
StatePublished - 2024
EventInternational 3D GeoInfo Conference, 3DGeoInfo 2023 - Munich, Germany
Duration: 12 Sep 202314 Sep 2023

Publication series

NameLecture Notes in Geoinformation and Cartography
ISSN (Print)1863-2246
ISSN (Electronic)1863-2351

Conference

ConferenceInternational 3D GeoInfo Conference, 3DGeoInfo 2023
Country/TerritoryGermany
CityMunich
Period12/09/2314/09/23

Keywords

  • Bag-of-Words Approach
  • Façade reconstruction
  • Point clouds
  • mobile laser scanning

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