DocumentCode :
1707058
Title :
Generating occlusion-free textures for virtual 3D model of urban facades by fusing image and laser street data
Author :
Hammoudi, Karim ; Dornaika, Fadi ; Soheilian, Bahman ; Vallet, Bruno ; Paparoditis, Nicolas
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Ireland Maynooth, Maynooth, Ireland
fYear :
2012
Firstpage :
153
Lastpage :
154
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.
Keywords :
cartography; data acquisition; geophysical image processing; image fusion; image reconstruction; image texture; mobile computing; solid modelling; 3D point cloud; 3D urban facade models; acquisition system; georeferenced images; image fusion; laser street data; mobile mapping system; occlusion-free texture generation; terrestrial multisource data fusion; texture part reconstruction; virtual 3D model; Electronic mail; Image reconstruction; Kernel; Laser beams; Solid modeling; Three dimensional displays; Augmented and Virtual Realities; H.5.1 [Information Interfaces and Presentation]: Multimedia Information Systems — Artificial; I.4.7 [Image Processing and Computer Vision]: Feature Measurement — Texture; I.4.8 [Image Processing and Computer Vision]: Scene Analysis — Sensor Fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Virtual Reality Short Papers and Posters (VRW), 2012 IEEE
Conference_Location :
Costa Mesa, CA
ISSN :
1087-8270
Print_ISBN :
978-1-4673-1247-9
Type :
conf
DOI :
10.1109/VR.2012.6180927
Filename :
6180927
Link To Document :
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