中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Zooming image based false matches elimination algorithms for robot navigation

文献类型:期刊论文

作者Gao, Hongwei1,3; Jiang, Yueqiu3; Liu, Jinguo1; Yu, Yang3; Ju, Zhaojie2
刊名ADVANCES IN MECHANICAL ENGINEERING
出版日期2017-12-16
卷号9期号:12页码:15
ISSN号1687-8140
关键词Zooming image scale-invariant feature transform geometry constraint false matches elimination robot visual servoing
DOI10.1177/1687814017738155
通讯作者Ju, Zhaojie(zhaojie.ju@port.ac.uk)
英文摘要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.
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
语种英语
出版者SAGE PUBLICATIONS LTD
WOS记录号WOS:000418168200001
资助机构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
源URL[http://ir.imr.ac.cn/handle/321006/127161]  
专题金属研究所_中国科学院金属研究所
通讯作者Ju, Zhaojie
作者单位1.Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang, Liaoning, Peoples R China
2.Univ Portsmouth, Sch Comp, Portsmouth PO1 3HE, Hants, England
3.Shenyang Ligong Univ, Sch Automat & Elect Engn, Shenyang, Liaoning, Peoples R China
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.

入库方式: OAI收割

来源:金属研究所

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