Corner detectors for affine invariant salient regions: is color important?

  • Authors:

  • Nicu Sebe;Theo Gevers;Joost van de Weijer;Sietse Dijkstra

  • Affiliations:

  • Faculty of Science, University of Amsterdam, The Netherlands;Faculty of Science, University of Amsterdam, The Netherlands;INRIA Rhone-Alpes, France;Faculty of Science, University of Amsterdam, The Netherlands

  • Venue:
  • CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

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.