MapSnapper: engineering an efficient algorithm for matching images of maps from mobile phones
Jonathon S. Hare, Paul H. Lewis, Layla Gordon, Glen Hart · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
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.