Combining different types of scale space interest points using canonical sets

Authors:
Frans Kanters;Trip Denton;Ali Shokoufandeh;Luc Florack;Bart Ter Haar Romeny
Affiliations:
Eindhoven University of Technology, Eindhoven, The Netherlands;Drexel university, Philadelphia;Drexel university, Philadelphia;Eindhoven University of Technology, Eindhoven, The Netherlands;Eindhoven University of Technology, Eindhoven, The Netherlands
Venue:
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Year:
2007

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Abstract

Scale space interest points capture important photometric and deep structure information of an image. The information content of such points can be made explicit using image reconstruction. In this paper we will consider the problem of combining multiple types of interest points used for image reconstruction. It is shown that ordering the complete set of points by differential (quadratic) TV-norm (which works for single feature types) does not yield optimal results for combined point sets. The paper presents a method to solve this problem using canonical sets of scale space features. Qualitative and quantitative analysis show improved performance over simple ordering of points using the TV-norm.