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
Match Normalization: Learning-Based Point Cloud Registratio..:
Dang, Zheng
;
Wang, Lizhou
;
Guo, Yu
.
IEEE Transactions on Pattern Analysis and Machine Intelligence. 46 (2024) 6 - p. 4489-4503 , 2024
Link:
https://doi.org/10.1109/tpami.2024.3355198
RT Journal T1 <Title>Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tpami.2024.3355198&Exemplar=1&LAN=DE A1 Dang, Zheng A1 Wang, Lizhou A1 Guo, Yu A1 Salzmann, Mathieu PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 SN 0162-8828 SN 2160-9292 SN 1939-3539 JF IEEE Transactions on Pattern Analysis and Machine Intelligence VO 46 IS 6 SP 4489 OP 4503 LK http://dx.doi.org/https://doi.org/10.1109/tpami.2024.3355198 DO https://doi.org/10.1109/tpami.2024.3355198 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
