Automatic Semantic Labelling of 3D Buildings Based on Geometric and Topological Information

Abdoulaye Abou Diakité 1 Guillaume Damiand 2, 1 Gilles Gesquière 3
1 M2DisCo - Geometry Processing and Constrained Optimization
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
3 GeoMod - Modélisation Géométrique, Géométrie Algorithmique, Fractales
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : The lack of suitable information in 3D models of buildings and cities is still a strong limitation for the increasing number of applications requiring the 3D data. The latter are often obtained from acquisition or modeling processes during which the geometry is well preserved, but the topological and semantic information are lost. We present a new approach to enrich a purely geometric model with topological information. The reconstructed topology combined to the geometry is helpful to several operations like guided building simplification, model correction, etc. In this work we recover the semantic information based on a propagation approach guided by heuristic rules. All the process is automatic and designed such that any user can bring and customize as many rules as needed to supervise the semantic labelling. As example we propose few rules applied to both Building Information Models (BIM) and 3D Geometric Information Systems (GIS) data.
Document type :
Conference papers
Complete list of metadatas

Cited literature [26 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01122533
Contributor : Abdoulaye Diakité <>
Submitted on : Monday, March 9, 2015 - 4:27:02 PM
Last modification on : Thursday, November 1, 2018 - 1:19:50 AM
Long-term archiving on : Monday, April 17, 2017 - 3:47:37 AM

File

Paper.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01122533, version 1

Citation

Abdoulaye Abou Diakité, Guillaume Damiand, Gilles Gesquière. Automatic Semantic Labelling of 3D Buildings Based on Geometric and Topological Information. Proc. of 9th International 3DGeoInfo Conference (3DGeoInfo), Nov 2014, Dubaï, United Arab Emirates. ⟨hal-01122533⟩

Share

Metrics

Record views

921

Files downloads

336