MapSnapper: Engineering an Efficient Algorithm for Matching Images of Maps from Mobile Phones


Hare, Jonathan, Lewis, Paul, Gordon, Layla and Hart, Glenn (2008) MapSnapper: Engineering an Efficient Algorithm for Matching Images of Maps from Mobile Phones. At Multimedia Content Access: Algorithms and Systems II, San Jose, California, USA, 30 - 31 Jan 2008. SPIE and IS&T, 68200L-1.

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Description/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.

Item Type: Conference or Workshop Item (Speech)
Additional Information: Event Dates: 30-31 January 2008
ISBNs: 9780819469922
ISSNs: 0277-786X
Keywords: Image Matching, Mobile device, Interest points, Salient regions, Local descriptors, Geometric matching constraints, Robust algorithms
Divisions: Faculty of Physical and Applied Science > Electronics and Computer Science > Web & Internet Science
Item ID: 265189
Date Deposited: 21 Feb 2008 12:29
Last Modified: 02 Mar 2012 11:40
Contributors: Hare, Jonathan (Author)
Lewis, Paul (Author)
Gordon, Layla (Author)
Hart, Glenn (Author)
Gevers, Theo (Editor)
Jain, Ramesh (Editor)
Santini, Simone (Editor)
Date: 30 January 2008
Additional Information: Event Dates: 30-31 January 2008
Status: Published
Publisher: SPIE and IS&T
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/265189

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