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|Title:||A robust image retrieval system for mobile guide applications||Authors:||Lee, Jimmy Addison
Yow, Kin Choong
|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
|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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