Fast robust feature-based template matching

Abstract

We propose a template matching method based on feature matching between target image and template. Firstly, we extract two sets of feature points from two images by ORB algorithm and match the key points to get a number of matches. Secondly, we remove the wrong matches to leverage feature numbers to improve quality. Then, we use a grid framework to locate the target object. We demonstrate great performance of our method through experiments.