Özet
Performing covert biometric recognition in surveillance environments has been regarded as a grand challenge, considering the adversity of the conditions where recognition should be carried out (e.g., poor resolution, bad lighting, off-pose and partially occluded data). This special issue compiles a group of approaches to this problem.
| Orijinal dil | İngilizce |
|---|---|
| Makale numarası | 8423530 |
| Sayfa (başlangıç-bitiş) | 41-67 |
| Sayfa sayısı | 27 |
| Dergi | IEEE Intelligent Systems |
| Hacim | 33 |
| Basın numarası | 3 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 1 May 2018 |
Bibliyografik not
Publisher Copyright:© 2001-2011 IEEE.
Finansman
This work is supported by ‘’FCT – Fundação para a Ciência e Tecnologia” (Portugal), through the project “UID/EEA/50008/2013”. This work has been partially supported by project CogniMetrics TEC2015-70627-R (MINECO/FEDER). E. GonzalezSosa is supported by a PhD scholarship from Universidad Au-tonoma de Madrid. This work was supported by TUBITAK project number 113E067 and by a Marie Curie FP7 Integration Grant within the 7th EU Framework Programme.
| Finansörler | Finansör numarası |
|---|---|
| 7th EU Framework Programme | |
| MINECO/FEDER | |
| TUBITAK | 113E067 |
| Fundo Regional para a Ciência e Tecnologia | UID/EEA/50008/2013 |
| Marie Curie | |
| Fundação para a Ciência e a Tecnologia | |
| Universidad Autónoma de Madrid |
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