A Consensus Matching Algorithm with FREAK Features

Abstract

While the consensus matching algorithm is able to discover target disappeared for a while and then reappears to the scene, it fails for complicated scenes such as drastic change of illumination and image rotation. In order to overcome this drawback, we proposed an improved strategy for the original consensus matching scheme by replacing BRISK with FREAK and FAST with SURF. According to experiments, the adoption of SURF and FREAK results in better performance in the case of illumination change and image rotation, and the FREAK helps to reduce the complexity of the algorithm.