Zooming image based false matches elimination algorithms for robot navigation

doi:10.1177/1687814017738155

IMR OpenIR

	Zooming image based false matches elimination algorithms for robot navigation
	Gao, Hongwei 1,2; Jiang, Yueqiu 1; Liu, Jinguo 2; Yu, Yang 1; Ju, Zhaojie 3
通讯作者	Ju, Zhaojie(zhaojie.ju@port.ac.uk)
	2017-12-16
发表期刊	ADVANCES IN MECHANICAL ENGINEERING
ISSN	1687-8140
卷号	9 期号:12 页码:15
摘要	Feature matching is one of the most important steps in the location technology of zooming images. According to the scale-invariant feature transform matching algorithm, several improved false matches elimination algorithms are proposed and compared in this article. First, features of zooming images and ranging models are introduced in detail in the theory framework of the scale-invariant feature transform feature detection and matching algorithm. The key role of the feature matching algorithm and false matches elimination in the ranging technology of zooming images is discussed and addressed. Second, false matches are eliminated by the proposed approach based on geometry constraint in zooming images with a higher accuracy. Third, false matches are removed by an elimination algorithm based on properties of the scale-invariant feature transform features. Finally, an iterative false matches elimination algorithm based on distance from epipole to epipolar line is proposed and this algorithm can also solve the real-time calibration of the shrink-amplify center for zooming images. Experiments results demonstrate that the three false matches elimination algorithms proposed are stable, and the false matches of feature points can be eliminated effectively with combination of these three methods, and the rest matching points can be applied into robot visual servoing.
关键词	Zooming image scale-invariant feature transform geometry constraint false matches elimination robot visual servoing
资助者	National Natural Science Foundation of China ; State Key Laboratory of Robotics Foundation ; Program for Liaoning Excellent Talents in University ; Natural Science Foundation of Liaoning Province ; Shenyang Ligong University Computer Application Key Discipline Foundation
DOI	10.1177/1687814017738155
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[51175494] ; State Key Laboratory of Robotics Foundation[2016008] ; Program for Liaoning Excellent Talents in University[LJQ2014021] ; Natural Science Foundation of Liaoning Province[201602652] ; Shenyang Ligong University Computer Application Key Discipline Foundation[4771004kfx09]
WOS研究方向	Thermodynamics ; Engineering
WOS类目	Thermodynamics ; Engineering, Mechanical
WOS记录号	WOS:000418168200001
出版者	SAGE PUBLICATIONS LTD
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/127162
专题	中国科学院金属研究所
通讯作者	Ju, Zhaojie
作者单位	1.Shenyang Ligong Univ, Sch Automat & Elect Engn, Shenyang, Liaoning, Peoples R China 2.Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang, Liaoning, Peoples R China 3.Univ Portsmouth, Sch Comp, Portsmouth PO1 3HE, Hants, England
推荐引用方式 GB/T 7714	Gao, Hongwei,Jiang, Yueqiu,Liu, Jinguo,et al. Zooming image based false matches elimination algorithms for robot navigation[J]. ADVANCES IN MECHANICAL ENGINEERING,2017,9(12):15.
APA	Gao, Hongwei,Jiang, Yueqiu,Liu, Jinguo,Yu, Yang,&Ju, Zhaojie.(2017).Zooming image based false matches elimination algorithms for robot navigation.ADVANCES IN MECHANICAL ENGINEERING,9(12),15.
MLA	Gao, Hongwei,et al."Zooming image based false matches elimination algorithms for robot navigation".ADVANCES IN MECHANICAL ENGINEERING 9.12(2017):15.