Saliency-Based Keypoint Reduction for Augmented-Reality Applications in Smart Cities

  • Simone BuoncompagniEmail author
  • Dario Maio
  • Davide Maltoni
  • Serena Papi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9281)


In this paper we show that Saliency-based keypoint selection makes natural landmark detection and object recognition quite effective and efficient, thus enabling augmented reality techniques in a plethora of applications in smart city contexts. As a case study we address a tour of a museum where a modern smart device like a tablet or smartphone can be used to recognize paintings, retrieve their pose and graphically overlay useful information.


Saliency-based ranking Keypoint local descriptors Smart city Augmented reality 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Simone Buoncompagni
    • 1
    Email author
  • Dario Maio
    • 1
  • Davide Maltoni
    • 1
  • Serena Papi
    • 2
  1. 1.DISIUniversità di BolognaBolognaItaly
  2. 2.CIRI ICTUniversità di BolognaCesenaItaly

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