ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Geometric Grouping of Repeated Elements within Images
Shape, Contour and Grouping in Computer Vision
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Image Based Localization in Urban Environments
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Image-based procedural modeling of facades
ACM SIGGRAPH 2007 papers
Deformed Lattice Detection in Real-World Images Using Mean-Shift Belief Propagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extraction, matching, and pose recovery based on dominant rectangular structures
Computer Vision and Image Understanding
Beyond GPS: determining the camera viewing direction of a geotagged image
Proceedings of the international conference on Multimedia
Image Matching and Retrieval by Repetitive Patterns
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Discovering texture regularity as a higher-order correspondence problem
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Ultra-wide baseline facade matching for geo-localization
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
A memory efficient discriminative approach for location aided recognition
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
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We study the feasibility of solving the challenging problem of geolocalizing ground level images in urban areas with respect to a database of images captured from the air such as satellite and oblique aerial images. We observe that comprehensive aerial image databases are widely available while complete coverage of urban areas from the ground is at best spotty. As a result, localization of ground level imagery with respect to aerial collections is a technically important and practically significant problem. We exploit two key insights: (1) satellite image to oblique aerial image correspondences are used to extract building facades, and (2) building facades are matched between oblique aerial and ground images for geo-localization. Key contributions include: (1) A novel method for extracting building facades using building outlines; (2) Correspondence of building facades between oblique aerial and ground images without direct matching; and (3) Position and orientation estimation of ground images. We show results of ground image localization in a dense urban area.