Corner detection based on adaptively filtered curvature function

A fast new algorithm to detect corners defined at different scales is presented. It relies on calculating the shape curvature function using an adaptive filtering factor to remove as much noise as possible without losing corners. Corners are the peaks of the function and they can be detected by thresholding. Experimental results show that detected corners are very stable against noise, scale and rotation.