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. © Springer-Verlag 2004.
CITATION STYLE
Felsberg, M., & Granlund, G. (2004). POI detection using channel clustering and the 2D energy tensor. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3175, 103–110. https://doi.org/10.1007/978-3-540-28649-3_13
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