Title: A fast robust template matching method based on feature points

Authors: Shibing Yu; Zhen Jiang; Meihe Wang; Zhengze Li; Xinli Xu

Addresses: School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200072, China ' School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200072, China ' School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200072, China ' School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200072, China ' School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266520, China

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.

Keywords: template matching; feature points; ORB algorithm; leverage feature; motion statics model; feature match; target image; matching point pairs; grid framework; target object.

DOI: 10.1504/IJMIC.2020.114794

International Journal of Modelling, Identification and Control, 2020 Vol.35 No.4, pp.346 - 352

Received: 27 Apr 2020
Accepted: 19 Jul 2020
Published online: 06 May 2021 *

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