Automatic Selection of the Optimal Local Feature Detector

  • Bruno FerrariniEmail author
  • Shoaib Ehsan
  • Naveed Ur Rehman
  • Ales̆ Leonardis
  • Klaus D. McDonald-Maier
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9730)


A large number of different local feature detectors have been proposed in the last few years. However, each feature detector has its own strengths and weaknesses that limit its use to a specific range of applications. In this paper is presented a tool capable of quickly analysing input images to determine which type and amount of transformation is applied to them and then selecting the optimal feature detector, which is expected to perform the best. The results show that the performance and the fast execution time render the proposed tool suitable for real-world vision applications.


Feature detector Repeatability Performance evaluation 


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Bruno Ferrarini
    • 1
    Email author
  • Shoaib Ehsan
    • 1
  • Naveed Ur Rehman
    • 2
  • Ales̆ Leonardis
    • 3
  • Klaus D. McDonald-Maier
    • 1
  1. 1.School of Computer Science and Electronic EngineeringUniversity of EssexColchesterUK
  2. 2.Department of Electrical EngineeringCOMSATS Institute of Information TechnologyIslamabadPakistan
  3. 3.School of Computer ScienceUniversity of BirminghamBirminghamUK

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