A robust image retrieval system for mobile guide applications

We describe the prototype of an image retrieval system used for mobile guide applications. It allows users to send image queries of urban scenes using camera phones. The system uses a database of views of scenes to determine the poses of query views provided by the users. Information is then mapped...

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Main Authors: Lee, Jimmy Addison, Yow, Kin Choong, Kumazawa, Itsuo
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/101712
http://hdl.handle.net/10220/16780
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1017122020-05-28T07:18:55Z A robust image retrieval system for mobile guide applications Lee, Jimmy Addison Yow, Kin Choong Kumazawa, Itsuo School of Computer Engineering DRNTU::Engineering::Computer science and engineering We describe the prototype of an image retrieval system used for mobile guide applications. It allows users to send image queries of urban scenes using camera phones. The system uses a database of views of scenes to determine the poses of query views provided by the users. Information is then mapped onto the query views. Our approach is based on a fully affine invariant descriptor, coined PRIUS, which can identify corresponding building facades across widely separated views despite the highly repetitive nature of the man-made environments. The system is substantiated by experiments that show that our approach outperforms the state-of-the-art approaches such as SIFT (scale-invariant feature transform) and MSER (maximally stable external regions) in image retrieval. 2013-10-24T07:08:04Z 2019-12-06T20:43:09Z 2013-10-24T07:08:04Z 2019-12-06T20:43:09Z 2012 2012 Journal Article Lee, J. A., Yow, K.-C., & Kumazawa, I. (2012). A robust image retrieval system for mobile guide applications. International Journal of Intelligent Systems, 27(4), 301-316. 0884-8173 https://hdl.handle.net/10356/101712 http://hdl.handle.net/10220/16780 10.1002/int.21522 en International journal of intelligent systems
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Lee, Jimmy Addison
Yow, Kin Choong
Kumazawa, Itsuo
A robust image retrieval system for mobile guide applications
description We describe the prototype of an image retrieval system used for mobile guide applications. It allows users to send image queries of urban scenes using camera phones. The system uses a database of views of scenes to determine the poses of query views provided by the users. Information is then mapped onto the query views. Our approach is based on a fully affine invariant descriptor, coined PRIUS, which can identify corresponding building facades across widely separated views despite the highly repetitive nature of the man-made environments. The system is substantiated by experiments that show that our approach outperforms the state-of-the-art approaches such as SIFT (scale-invariant feature transform) and MSER (maximally stable external regions) in image retrieval.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Lee, Jimmy Addison
Yow, Kin Choong
Kumazawa, Itsuo
format Article
author Lee, Jimmy Addison
Yow, Kin Choong
Kumazawa, Itsuo
author_sort Lee, Jimmy Addison
title A robust image retrieval system for mobile guide applications
title_short A robust image retrieval system for mobile guide applications
title_full A robust image retrieval system for mobile guide applications
title_fullStr A robust image retrieval system for mobile guide applications
title_full_unstemmed A robust image retrieval system for mobile guide applications
title_sort robust image retrieval system for mobile guide applications
publishDate 2013
url https://hdl.handle.net/10356/101712
http://hdl.handle.net/10220/16780
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