Title: Automated Semantic Labelling of 3D Vector Models for Scan-to-BIM
Authors: Bassier, Maarten
Vergauwen, Maarten
Van Genechten, Bjorn
Issue Date: 25-Apr-2016
Host Document: Proceedings of the 4th Annual International Conference on Architecture and Civil Engineering(ACE2016) pages:93-100
Conference: Architecture and Civil Engineering (ACE 2016) edition:4 location:Singapore date:25-26 April 2016
Abstract: With the increasing popularity of Building Information
modelling (BIM), the demand for accurate as-built models
of existing buildings is rising. However, the manual creation of
these models is labour intensive and error prone. Therefore,
automation of the process is a must. One of the key factors in
the automated Scan-to-BIM process is the labelling of the data
for further reconstruction. Currently, semantic labelling is still
ongoing research.
This paper presents a flexible method to automatically label
highly cluttered vector models of existing buildings. In our
proposed method, a reasoning framework is used that exploits
geometric and contextual information. A major advantage to
our approach is that our algorithm can label both cluttered
environments and large data sets very efficiently. Unlike other
solutions, this allows us to label entire buildings at once. In
addition, the implementation of our algorithm and the platform
we use allows for flexible data processing, visualisation of the
results and improvement of the labelling process. Our work
covers the entire labelling phase and allows the user to label
data sets with a minimal amount of effort.
ISSN: 2301-394X
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Technologiecluster Bouw
Construction TC, Technology Campuses Ghent and Aalst

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