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
Image-Image Translation to Enhance Near Infrared Face Recog..:
, In:
2019 IEEE International Conference on Image Processing (ICIP)
,
Wu, Fangyu
;
You, Weihang
;
Smith, Jeremy S.
.. - p. 3442-3446 , 2019
Link:
https://doi.org/10.1109/ICIP.2019.8804414
RT T1
2019 IEEE International Conference on Image Processing (ICIP)
: T1
Image-Image Translation to Enhance Near Infrared Face Recognition
UL https://suche.suub.uni-bremen.de/peid=ieee-8804414&Exemplar=1&LAN=DE A1 Wu, Fangyu A1 You, Weihang A1 Smith, Jeremy S. A1 Lu, Wenjin A1 Zhang, Bailing YR 2019 SN 2381-8549 K1 Face K1 Databases K1 Face recognition K1 Training K1 Cameras K1 Face detection K1 Lighting K1 Near infrared face recognition K1 Image-image translation K1 Face embedding SP 3442 OP 3446 LK http://dx.doi.org/https://doi.org/10.1109/ICIP.2019.8804414 DO https://doi.org/10.1109/ICIP.2019.8804414 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)