中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Efficient Closed-Loop Multiple-View Registration

文献类型:期刊论文

作者Shao, Xiaowei1,2; Shi, Yun3,4; Zhao, Huijing5; Li, Xuelong6; Shibasaki, Ryosuke4
刊名ieee transactions on intelligent transportation systems
出版日期2014-12-01
卷号15期号:6页码:2524-2538
关键词Loop closure matrix exponentiated gradient (MEG) multiple-view registration
ISSN号1524-9050
产权排序6
合作状况国际
英文摘要registering multiple views is an essential and challenging problem for many intelligent transportation applications that employ a mobile sensing platform or consist of multiple stationary sensors. in this paper a novel algorithm is presented for multiple-view registration under a loop closure constraint. different from most existing methods, which use general optimization techniques, our method studies the mechanism of adjusting the poses of views in a loop and provides a highly efficient and accurate solution. we prove that translation vectors can be decoupled if the same point set is used in each view to associate the previous and subsequent views, leading to our solution for such decouplable cases. if this condition does not hold, an exact solution of translation vectors is provided when rotation parameters are given, which results in our iterative solution for general cases by updating rotation and translation alternately. in our method, the effect of the accumulated pose error in a loop can be distributed to all views efficiently through loop factors, and only a few iterations are needed. most important of all, in each iteration our method has linear computational complexity with respect to the number of views, which is much superior to that of state-of-the-art methods. a series of experiments was conducted, involving simulation of thousands of views and real vehicle-borne sensing data that include 65 371 point pairs in 352 views. experimental results show that our proposed method is not only stable and highly efficient but also provides competitive accuracy relative to existing methods.
WOS标题词science & technology ; technology
类目[WOS]engineering, civil ; engineering, electrical & electronic ; transportation science & technology
研究领域[WOS]engineering ; transportation
关键词[WOS]outdoor environments ; data sets ; slam ; geometry
收录类别SCI ; EI
语种英语
WOS记录号WOS:000345572900015
公开日期2015-03-19
源URL[http://ir.opt.ac.cn/handle/181661/22416]  
专题西安光学精密机械研究所_光学影像学习与分析中心
作者单位1.Univ Tokyo, Earth Observat Data Integrat & Fusion Res Initiat, Tokyo 1138656, Japan
2.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China
3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agri Informat, Minist Agr, Beijing 100081, Peoples R China
4.Univ Tokyo, Ctr Spatial Informat Sci, Tokyo 1130033, Japan
5.Peking Univ, State Key Lab Machine Percept, Beijing 100871, Peoples R China
6.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr Opt Imagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China
推荐引用方式
GB/T 7714
Shao, Xiaowei,Shi, Yun,Zhao, Huijing,et al. Efficient Closed-Loop Multiple-View Registration[J]. ieee transactions on intelligent transportation systems,2014,15(6):2524-2538.
APA Shao, Xiaowei,Shi, Yun,Zhao, Huijing,Li, Xuelong,&Shibasaki, Ryosuke.(2014).Efficient Closed-Loop Multiple-View Registration.ieee transactions on intelligent transportation systems,15(6),2524-2538.
MLA Shao, Xiaowei,et al."Efficient Closed-Loop Multiple-View Registration".ieee transactions on intelligent transportation systems 15.6(2014):2524-2538.

入库方式: OAI收割

来源:西安光学精密机械研究所

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