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Generating occlusion-free textures for virtual 3D model of urban facades by fusing image and laser street data

Authors :
Fadi Dornaika
Bruno Vallet
Nicolas Paparoditis
Karim Hammoudi
Bahman Soheilian
Méthodes d'Analyses pour le Traitement d'Images et la Stéréorestitution (MATIS)
Laboratoire des Sciences et Technologies de l'Information Géographique (LaSTIG)
École nationale des sciences géographiques (ENSG)
Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Institut National de l'Information Géographique et Forestière [IGN] (IGN)-École nationale des sciences géographiques (ENSG)
Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Institut National de l'Information Géographique et Forestière [IGN] (IGN)
Universitat Autònoma de Barcelona (UAB)
Ecole nationale des sciences géographiques (ENSG)
Institut géographique national [IGN] (IGN)-Institut géographique national [IGN] (IGN)
Source :
2012 IEEE Virtual Reality (VR), 2012 IEEE Virtual Reality (VR), Mar 2012, Costa Mesa, France. pp.153-154, ⟨10.1109/VR.2012.6180927⟩, VR
Publication Year :
2012
Publisher :
HAL CCSD, 2012.

Abstract

In this paper we present relevant results of a work in progress1 that deals with the texturing of 3D urban facade models by fusing terrestrial multi-source data acquired by a Mobile Mapping System (MMS). Some of current 3D urban facade models often are textured by using images that contain parts of urban objects that belong to the street. These urban objects represent in this case occlusions since they are located between the acquisition system and the facades. We show the potential use of georeferenced images and 3D point cloud that are acquired at street level by the MMS in generating occlusion-free facade textures. We describe a methodology for reconstructing texture parts of facades that are highly occluded by wide frontal objects.

Details

Language :
English
Database :
OpenAIRE
Journal :
2012 IEEE Virtual Reality (VR), 2012 IEEE Virtual Reality (VR), Mar 2012, Costa Mesa, France. pp.153-154, ⟨10.1109/VR.2012.6180927⟩, VR
Accession number :
edsair.doi.dedup.....ebccadb45531364e6fdf5b1b700f8826
Full Text :
https://doi.org/10.1109/VR.2012.6180927⟩