Machine Vision and Applications

, Volume 21, Issue 6, pp 905–920

A comparative evaluation of interest point detectors and local descriptors for visual SLAM

  • Arturo Gil
  • Oscar Martinez Mozos
  • Monica Ballesta
  • Oscar Reinoso
Original Paper

DOI: 10.1007/s00138-009-0195-x

Cite this article as:
Gil, A., Mozos, O.M., Ballesta, M. et al. Machine Vision and Applications (2010) 21: 905. doi:10.1007/s00138-009-0195-x

Abstract

In this paper we compare the behavior of different interest point detectors and descriptors under the conditions needed to be used as landmarks in vision-based simultaneous localization and mapping (SLAM). We evaluate the repeatability of the detectors, as well as the invariance and distinctiveness of the descriptors, under different perceptual conditions using sequences of images representing planar objects as well as 3D scenes. We believe that this information will be useful when selecting an appropriate landmark detector and descriptor for visual SLAM.

Keywords

Interest point detectors Local descriptors Visual landmarks Visual SLAM 

Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • Arturo Gil
    • 1
  • Oscar Martinez Mozos
    • 2
  • Monica Ballesta
    • 1
  • Oscar Reinoso
    • 1
  1. 1.Department of Industrial Systems EngineeringMiguel Hernández UniversityElcheSpain
  2. 2.Department of Computer ScienceUniversity of FreiburgFreiburg im BreisgauGermany

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