title: Performance assessment of feature detection algorithms: a methodology and case study on corner detectors.
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.
authors.affiliation: Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 3JD, UK. p.rockett@ shef.ac.uk
authors.forename: Peter I
authors.initials: PI
authors.lastname: Rockett