Corner detection using Chebyshev fitting-based continuous curvature estimation

Extensive contour-based corner detection methods have been proposed to estimate the curvature of a planar curve and most of them estimated it in digital spaces. However, the curvature should be intuitively continuous. Presented is a novel approach which addresses the corner detection issue by employing the Chebyshev polynomial fitting to estimate the curvature in a continuous way. Experimental results demonstrate that the approach achiever a promising performance in comparison with three representative corner detectors based on discrete curvature estimation and two other state-of-the-art methods.