MapSnapper: Engineering an Efficient Algorithm for Matching Images of Maps from Mobile Phones
MapSnapper: Engineering an Efficient Algorithm for Matching Images of Maps from Mobile Phones
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.
Image Matching, Mobile device, Interest points, Salient regions, Local descriptors, Geometric matching constraints, Robust algorithms
9780819469922
68200L-1
Hare, Jonathan
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Lewis, Paul
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Gordon, Layla
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Hart, Glenn
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Gevers, Theo
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Jain, Ramesh
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Santini, Simone
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30 January 2008
Hare, Jonathan
65ba2cda-eaaf-4767-a325-cd845504e5a9
Lewis, Paul
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Gordon, Layla
6e6541cb-70d5-4285-b1a1-9bdbf9248e9b
Hart, Glenn
458a2ed9-0c26-4412-ad29-4d74be32cd6d
Gevers, Theo
28d2349c-a752-4d22-9aa5-3580dfc640ca
Jain, Ramesh
44db92e2-0909-47c9-bc34-0ae786c9ab0f
Santini, Simone
9ff9323a-085f-43dd-a0a4-10c0ae88d828
Hare, Jonathan, Lewis, Paul, Gordon, Layla and Hart, Glenn
(2008)
MapSnapper: Engineering an Efficient Algorithm for Matching Images of Maps from Mobile Phones.
Gevers, Theo, Jain, Ramesh and Santini, Simone
(eds.)
Multimedia Content Access: Algorithms and Systems II, San Jose, California, United States.
30 - 31 Jan 2008.
.
Record type:
Conference or Workshop Item
(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.
More information
Published date: 30 January 2008
Additional Information:
Event Dates: 30-31 January 2008
Venue - Dates:
Multimedia Content Access: Algorithms and Systems II, San Jose, California, United States, 2008-01-30 - 2008-01-31
Keywords:
Image Matching, Mobile device, Interest points, Salient regions, Local descriptors, Geometric matching constraints, Robust algorithms
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 265189
URI: http://eprints.soton.ac.uk/id/eprint/265189
ISBN: 9780819469922
PURE UUID: b67317da-cbfd-4eeb-a7f8-b627febee116
Catalogue record
Date deposited: 21 Feb 2008 12:29
Last modified: 15 Mar 2024 03:25
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Contributors
Author:
Jonathan Hare
Author:
Paul Lewis
Author:
Layla Gordon
Author:
Glenn Hart
Editor:
Theo Gevers
Editor:
Ramesh Jain
Editor:
Simone Santini
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