A robust image retrieval system for mobile guide applications

  • Authors:
  • Jimmy Addison Lee;Kin-Choong Yow;Itsuo Kumazawa

  • Affiliations:
  • Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore 138632, Republic of Singapore;School of Computer Engineering, Nanyang Technological University, Singapore 639798, Republic of Singapore;Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, Yokohama, 226-8503, Japan

  • Venue:
  • International Journal of Intelligent Systems
  • Year:
  • 2012

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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. © 2012 Wiley Periodicals, Inc. © 2012 Wiley Periodicals, Inc.