Performance assessment of feature detection algorithms: a methodology and case study on corner detectors
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1Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 3JD, UK. p.rockett@ shef.ac.uk
Abstract:
In this paper, we describe a generic methodology for evaluating the labeling performance of feature detectors. We describe a method for generating a test set and apply the methodology to the performance assessment of three well-known corner detectors: the Kitchen-Rosenfeld, Paler et al., and Harris-Stephens corner detectors. The labeling deficiencies of each of these detectors is related to their discrimination ability between corners and various of the features which comprise the class of noncorners.