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Corner Detectors for Affine Invariant Salient Regions: Is Color Important?

  • Nicu Sebe
  • Theo Gevers
  • Joost van de Weijer
  • Sietse Dijkstra
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4071)

Abstract

Recently, a lot of research has been done on the matching of images and their structures. Although the approaches are very different, most methods use some kind of point selection from which descriptors or a hierarchy are derived. We focus here on the methods that are related to the detection of points and regions that can be detected in an affine invariant way. Most of the previous research concentrated on intensity based methods. However, we show in this work that color information can make a significant contribution to feature detection and matching. Our color based detection algorithms detect the most distinctive features and the experiments suggest that to obtain optimal performance, a tradeoff should be made between invariance and distinctiveness by an appropriate weighting of the intensity and color information.

Keywords

Color Information JPEG Compression Salient Point Moment Matrix Corner Detector 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Nicu Sebe
    • 1
  • Theo Gevers
    • 1
  • Joost van de Weijer
    • 2
  • Sietse Dijkstra
    • 1
  1. 1.Faculty of ScienceUniversity of AmsterdamThe Netherlands
  2. 2.INRIA Rhone-AlpesFrance

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