A fast robust template matching method based on feature points

Abstract

A method for template matching based on the feature matches between a target image and the template is proposed. Firstly, two sets of feature points from two images were extracted by ORB algorithm, and then the key points were matched to get a number of matching point pairs. Secondly, the wrong matches were removed to leverage feature numbers to improve quality. Finally, we explored a grid framework to locate the target object. Experiments demonstrated the great performance of our method.