Deparametrization of a Discrete Convex Corner Detection Algorithm

A corner detection algorithm proposed by Hood, et al. [6] which detects corner points on a discretely defined curve represented by x, y-coordinates is de-parameterized and its corner detection accuracy is improved. The accuracy of the original algorithm is sensitive to several user-defined parameters. This paper details the process of automated de-parameterization of the algorithm using inverse methods, analyzes the results of the de-parameterization, and proposes a new geometric test for discrete cornerliness that eliminates extraneous corners found by this and other corner detecting algorithms.