Detecting and Matching Repeated Patterns for Automatic Geo-tagging in Urban Environments

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/38342

Title: Detecting and Matching Repeated Patterns for Automatic Geo-tagging in Urban Environments
Author: Schindler, Grant ; Krishnamurthy, Panchapagesan ; Lublinerman, Roberto ; Liu, Yanxi ; Dellaert, Frank
Abstract: We present a novel method for automatically geo-tagging photographs of man-made environments via detection and matching of repeated patterns. Highly repetitive environments introduce numerous correspondence ambiguities and are problematic for traditional wide-baseline matching methods. Our method exploits the highly repetitive nature of urban environments, detecting multiple perspectively distorted periodic 2D patterns in an image and matching them to a 3D database of textured facades by reasoning about the underlying canonical forms of each pattern. Multiple 2D-to-3D pattern correspondences enable robust recovery of camera orientation and location. We demonstrate the success of this method in a large urban environment.
Description: ©2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Presented at the 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 23-28 June 2008, Anchorage, AK. DOI: 10.1109/CVPR.2008.4587461
Type: Post-print
Proceedings
URI: http://hdl.handle.net/1853/38342
ISSN: 1063-6919
Citation: Schindler, G., Krishnamurthy, P., Lublinerman, R., Liu, Y., & Dellaert, F. (2008). "Detecting and Matching Repeated Patterns for Automatic Geo-Tagging in Urban Environments”. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008), 23-28 June 2008, 1-7.
Date: 2008-06
Contributor: Georgia Institute of Technology. Center for Robotics and Intelligent Machines
Georgia Institute of Technology. College of Computing
Publisher: Georgia Institute of Technology
Institute of Electrical and Electronics Engineers
Subject: Geo-tagging
Images
3D pattern
2D pattern
Urban environments

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