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 POI information 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 the Harris detector.
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Felsberg, M., Granlund, G. (2004). POI Detection Using Channel Clustering and the 2D Energy Tensor. In: Rasmussen, C.E., Bülthoff, H.H., Schölkopf, B., Giese, M.A. (eds) Pattern Recognition. DAGM 2004. Lecture Notes in Computer Science, vol 3175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28649-3_13
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DOI: https://doi.org/10.1007/978-3-540-28649-3_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22945-2
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