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Trends and Controversies

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dc.contributor.authorProença, Hugo
dc.contributor.authorNixon, Mark S.
dc.contributor.authorNappi, Michele
dc.contributor.authorGhaleb, Esam
dc.contributor.authorÖzbulak, Gökhan
dc.contributor.authorGao, Hua
dc.contributor.authorEkenel, Hazim Kemal
dc.contributor.authorGrm, Klemen
dc.contributor.authorStruc, Vitomir
dc.contributor.authorShi, Hailin
dc.contributor.authorZhu, Xiangyu
dc.contributor.authorLiao, Shengcai
dc.contributor.authorLei, Zhen
dc.contributor.authorLi, Stan Z.
dc.contributor.authorGutfeter, Weronika
dc.contributor.authorPacut, Andrzej
dc.contributor.authorBrogan, Joel
dc.contributor.authorScheirer, Walter J.
dc.contributor.authorGonzalez-Sosa, Ester
dc.contributor.authorVera-Rodríguez, Rubén
dc.contributor.authorFiérrez, Julian
dc.contributor.authorOrtega-Garcia, Javier
dc.contributor.authorRiccio, Daniel
dc.contributor.authorLuigi De Maio
dc.contributor.ituauthorEkenel, Hazım Kemal
dc.date.accessioned2026-01-26T06:33:39Z
dc.date.issued2018-05-01
dc.description.abstractPerforming 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.
dc.description.urihttps://doi.org/10.1109/mis.2018.033001416
dc.description.urihttps://doi.org/10.1109/MIS.2018.033001416
dc.description.urihttp://hdl.handle.net/11588/782111
dc.description.urihttps://cris.maastrichtuniversity.nl/en/publications/9f2e54c4-9874-44b6-8e4b-530baa6fc87d
dc.description.urihttps://dx.doi.org/10.1109/mis.2018.033001416
dc.description.urihttps://hdl.handle.net/11386/4714334
dc.description.urihttps://hdl.handle.net/11588/782111
dc.description.urihttps://doi.org/https://doi.org/10.1109/MIS.2018.033001416
dc.identifier.doi10.1109/mis.2018.033001416
dc.identifier.eissn1941-1294
dc.identifier.endpage67
dc.identifier.issn1541-1672
dc.identifier.openairedoi_dedup___::eeb0e1a55fba6debecbc9de881a23022
dc.identifier.orcid0000-0003-2551-8570
dc.identifier.orcid0000-0002-9174-5934
dc.identifier.orcid0000-0002-2517-2867
dc.identifier.orcid0000-0003-3697-8548
dc.identifier.orcid0000-0002-4636-9677
dc.identifier.orcid0000-0001-8941-2295
dc.identifier.orcid0000-0001-6359-8220
dc.identifier.orcid0000-0002-2069-7699
dc.identifier.orcid0000-0002-6338-8511
dc.identifier.orcid0000-0003-0557-1948
dc.identifier.orcid0000-0002-5844-0602
dc.identifier.startpage41
dc.identifier.urihttps://hdl.handle.net/11527/62701
dc.identifier.volume33
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIEEE Intelligent Systems
dc.rightsCLOSED
dc.sdg.typeGoal 2: Zero Hunger
dc.subjectdeep models
dc.subjectface recognition
dc.subjectQUIS-CAMPI
dc.subjectsurveillance
dc.subjectQUIS-CAMPI
dc.subjectsurveillance
dc.subjectdeep models
dc.subjectface recognition
dc.titleTrends and Controversies
dc.typeArticle
dspace.entity.typePublication
person.identifier.orcid0000-0003-3697-8548

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