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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Sebe, N., Gevers, T., van de Weijer, J., Dijkstra, S. (2006). Corner Detectors for Affine Invariant Salient Regions: Is Color Important?. In: Sundaram, H., Naphade, M., Smith, J.R., Rui, Y. (eds) Image and Video Retrieval. CIVR 2006. Lecture Notes in Computer Science, vol 4071. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11788034_7
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DOI: https://doi.org/10.1007/11788034_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36018-6
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