MapSnapper: engineering an efficient algorithm for matching images of maps from mobile phones

Jonathon S. Hare; Paul H. Lewis; Layla Gordon; Glen Hart

doi:10.1117/12.767207

28 January 2008 MapSnapper: engineering an efficient algorithm for matching images of maps from mobile phones

Jonathon S. Hare, Paul H. Lewis, Layla Gordon, Glen Hart

Proceedings Volume 6820, Multimedia Content Access: Algorithms and Systems II; 68200L (2008) https://doi.org/10.1117/12.767207
Event: Electronic Imaging, 2008, San Jose, California, United States

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.

Citation Download Citation

Jonathon S. Hare, Paul H. Lewis, Layla Gordon, and Glen Hart "MapSnapper: engineering an efficient algorithm for matching images of maps from mobile phones", Proc. SPIE 6820, Multimedia Content Access: Algorithms and Systems II, 68200L (28 January 2008); https://doi.org/10.1117/12.767207

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