POI Detection using Channel Clustering and the 2D Energy Tensor

Felsberg, M., Granlund, G.H.
DAGM 2004, Tübingen, Germany
Pattern Recognition: 26th DAGM Symposiumg
Volume 3175, Pages 103-110
2004

Abstract

In this paper we address one of the standard problems of image processing and computer vision: The detection of points of interest (POI). We propose two new approaches for improving the detection results. First, we define an energy tensor which can be considered as a phase invariant extension of the structure tensor. Second, we use the channel representation for robustly clustering the POIinformation from the first step resulting in sub-pixel accuracy for the localisation of POI. We compare our method to several related approaches on a theoretical level and show a brief experimental comparison to theHarrisdetector.

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Bibtex entry

@inproceedings{fg04,
        Address = {T{\"u}bingen, Germany},
        Author = {Felsberg, M. and Granlund, G.H.},
        Booktitle = {Pattern Recognition: 26th DAGM Symposiumg},
        Pages = {103--110},
        Series = {LNCS},
        Title = {{POI} Detection using Channel Clustering and the {2D} Energy Tensor},
        Volume = {3175},
        Year = {2004}}