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Proceedings Paper

MapSnapper: engineering an efficient algorithm for matching images of maps from mobile phones
Author(s): Jonathon S. Hare; Paul H. Lewis; Layla Gordon; Glen Hart
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Paper Abstract

The MapSnapper project aimed to develop a system for robust matching of low-quality images of a paper map taken from a mobile phone against a high quality digital raster representation of the same map. The paper presents a novel methodology for performing content-based image retrieval and object recognition from query images that have been degraded by noise and subjected to transformations through the imaging system. In addition the paper also provides an insight into the evaluation-driven development process that was used to incrementally improve the matching performance until the design specifications were met.

Paper Details

Date Published: 28 January 2008
PDF: 11 pages
Proc. SPIE 6820, Multimedia Content Access: Algorithms and Systems II, 68200L (28 January 2008); doi: 10.1117/12.767207
Show Author Affiliations
Jonathon S. Hare, Univ. of Southampton (United Kingdom)
Paul H. Lewis, Univ. of Southampton (United Kingdom)
Layla Gordon, Ordnance Survey (United Kingdom)
Glen Hart, Ordnance Survey (United Kingdom)

Published in SPIE Proceedings Vol. 6820:
Multimedia Content Access: Algorithms and Systems II
Theo Gevers; Ramesh C. Jain; Simone Santini, Editor(s)

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