GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Image and Vision Computing
Corner validation based on extracted corner properties
Computer Vision and Image Understanding
Fundamenta Informaticae - Swarm Intelligence
A Space Variant Gradient Based Corner Detector for Sparse Omnidirectional Images
Journal of Mathematical Imaging and Vision
Detecting intrinsically two-dimensional image structures using local phase
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Directional feature detection and correspondence
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II
Fundamenta Informaticae - Swarm Intelligence
Quantitative error measures for edge detection
Pattern Recognition
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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 the three well-known corner detectors of L. Kitchen and A. Rosenfeld (1982), of K. Paler et al. (1984), and of C. Harris and M. Stephens (1988). 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.