DocumentCode :
3198424
Title :
3D mobile augmented reality in urban scenes
Author :
Takacs, Gabriel ; El Choubassi, Maha ; Wu, Yi ; Kozintsev, Igor
fYear :
2011
fDate :
11-15 July 2011
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we present a large-scale mobile augmented reality system that recognizes the buildings in the mobile device´s live video and registers this live view with the 3-dimensional models of the buildings. Having the camera pose estimated and tracked, the system adds relevant information about the buildings to the video in the correct perspective. We demonstrate the system on a large database of geo-tagged panoramic images of an urban environment with associated 3-dimensional planar models. The system uses the capabilities of emerging mobile platforms such as location and orientation sensors, and computational power to detect, track, and augment buildings in urban scenes.
Keywords :
augmented reality; building; geophysical image processing; image registration; mobile computing; natural scenes; object tracking; pose estimation; solid modelling; video signal processing; visual databases; 3D mobile augmented reality; building recognition; camera pose estimation; camera pose tracking; geotagged panoramic image database; large-scale mobile augmented reality system; live video; live view registration; three-dimensional planar model; urban scene; Buildings; Databases; Feature extraction; Mobile communication; Sensors; Solid modeling; Three dimensional displays; 3-dimensional models; Mobile augmented reality; building recognition; detection; tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo (ICME), 2011 IEEE International Conference on
Conference_Location :
Barcelona
ISSN :
1945-7871
Print_ISBN :
978-1-61284-348-3
Electronic_ISBN :
1945-7871
Type :
conf
DOI :
10.1109/ICME.2011.6012101
Filename :
6012101
Link To Document :
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