Performance Evaluation of Binary Descriptors of Local Features

  • Jan Figat
  • Tomasz Kornuta
  • Włodzimierz Kasprzak
Conference paper

DOI: 10.1007/978-3-319-11331-9_23

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8671)
Cite this paper as:
Figat J., Kornuta T., Kasprzak W. (2014) Performance Evaluation of Binary Descriptors of Local Features. In: Chmielewski L.J., Kozera R., Shin BS., Wojciechowski K. (eds) Computer Vision and Graphics. ICCVG 2014. Lecture Notes in Computer Science, vol 8671. Springer, Cham

Abstract

The article is devoted to the evaluation of performance of image features with binary descriptors for the purpose of their utilization in recognition of objects by service robots. In the conducted experiments we used the dataset and followed the methodology proposed by Mikolajczyk and Schmid. The performance analysis takes into account the discriminative power of a combination of keypoint detector and feature descriptor, as well as time consumption.

Keywords

performance evaluation image features binary descriptors SIFT FAST BRIEF BRISK ORB FREAK 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jan Figat
    • 1
  • Tomasz Kornuta
    • 1
  • Włodzimierz Kasprzak
    • 1
  1. 1.Institute of Control and Computation Eng.Warsaw University of TechnologyWarsawPoland

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