Real Time Localization and 3D Reconstruction
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Wide area localization on mobile phones
ISMAR '09 Proceedings of the 2009 8th IEEE International Symposium on Mixed and Augmented Reality
Accurate image localization based on google maps street view
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Building Rome on a cloudless day
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Communications of the ACM
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Real-time image-based 6-DOF localization in large-scale environments
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Worldwide pose estimation using 3d point clouds
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Incremental Fusion of Structure-from-Motion and GPS Using Constrained Bundle Adjustments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Registration of Spherical Panoramic Images with Cadastral 3D Models
3DIMPVT '12 Proceedings of the 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission
Accurate Georegistration of Point Clouds Using Geographic Data
3DV '13 Proceedings of the 2013 International Conference on 3D Vision
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To provide high quality Augmented Reality service in a car navigation system, accurate 6DoF localization is required. To ensure such accuracy, most of current vision-based solutions rely on an off-line large scale modeling of the environment. Nevertheless, while existing solutions require expensive equipments and/or a prohibitive computation time, we propose in this paper a complete framework that automatically builds an accurate city scale database of landmarks using only a standard camera, a GPS and Geographic Information System (GIS). As illustrated in the experiments, only few minutes are required to model large scale environments. Then, a localization algorithm can use the resulting databases for a high quality Augmented Reality experiences.