Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/101712
Title: A robust image retrieval system for mobile guide applications
Authors: Lee, Jimmy Addison
Yow, Kin Choong
Kumazawa, Itsuo
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: 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.
Series/Report no.: International journal of intelligent systems
Abstract: 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.
URI: https://hdl.handle.net/10356/101712
http://hdl.handle.net/10220/16780
ISSN: 0884-8173
DOI: 10.1002/int.21522
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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