I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
A Fast Registration Method Based on Line Features:
, In:
2020 39th Chinese Control Conference (CCC)
,
Zhang, Meng
;
Yang, Yi
;
Jiang, Qinghua
. - p. 2918-2923 , 2020
Link:
https://doi.org/10.23919/CCC50068.2020.9189080
RT T1
2020 39th Chinese Control Conference (CCC)
: T1
A Fast Registration Method Based on Line Features
UL https://suche.suub.uni-bremen.de/peid=ieee-9189080&Exemplar=1&LAN=DE A1 Zhang, Meng A1 Yang, Yi A1 Jiang, Qinghua A1 Zhang, Sixian YR 2020 SN 1934-1768 K1 Feature extraction K1 Image segmentation K1 Image registration K1 Optical imaging K1 Optical sensors K1 Remote sensing K1 Visualization K1 image registration K1 line features K1 feature consensus K1 similarity criterion K1 bidirectional matching SP 2918 OP 2923 LK http://dx.doi.org/https://doi.org/10.23919/CCC50068.2020.9189080 DO https://doi.org/10.23919/CCC50068.2020.9189080 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)