Fast Robust Feature-based Template Matching

被引：0

作者：

Li, Zhengze ^{[1
]}

Chen, Jinbo ^{[1
]}

Rao, Jinjun ^{[1
]}

Liu, Mei ^{[1
]}

机构：

[1] Shanghai Univ, Dept Precis Mech Engn, Shanghai 200444, Peoples R China

来源：

MATERIALS SCIENCE, ENERGY TECHNOLOGY AND POWER ENGINEERING III (MEP 2019) | 2019年 / 2154卷

关键词：

Template matching; feature points; motion statistics model; real-time; robustness;

D O I：

10.1063/1.5125372

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页数：7

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