A from scratch implementation of the Harris Corner Algorithm in Python.
Harris Corner Detector
Corner Detection is an important step towards identifying features of an image which could be tracked. The identified corners can be then matched across images using various feature decriptors like SIFT, SURF, FAST.
This repo contains a harris corner detector, designed from scratch, developed in Python. The main idea behind corner detection being, gradient for a corner should change in all directions. Such points are then identified, followed by non-max supression.