Corner classification using Harris algorithm

Abstract

An efficient corner type classification method derived from the general Harris corner detector is presented. The key idea is using the property that the gradient magnitudes of two isophotes in a second-order corner are the same but those in higher-order corners are different. A computational framework for post corner type classification led by the general Harris corner detector is devised. It can be implemented with a few additional computations.