Abstract
Corner detection techniques have been widely used as the first step in many applications involving shape classification. This paper evaluates a number of corner detectors and addresses some questions, such as number of responses to a single corner and noise sensitivity. Corner detectors considered here include Medioni-Yasumoto corner detector, Beus-Tiu corner detector, weighted- K-curvature corner detector, Rosenfeld-Johnston corner detector, Rosenfeld-Weszka corner detector, and Cheng-Hsu corner detector. Experimental results are presented to compare the performance of the algorithms.
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