Subtasks of unconstrained face recognition

Unconstrained face recognition remains a challenging computer vision problem despite recent exceptionally high results ( ~ 95% accuracy) on the current gold standard evaluation dataset: Labeled Faces in the Wild (LFW). We offer a decomposition of the unconstrained problem into subtasks based on the...

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Dades bibliogràfiques
Autors principals: Leibo, Joel Z., Liao, Qianli, Poggio, Tomaso A.
Altres autors: Center for Brains, Minds and Machines at MIT
Format: Article
Idioma:en_US
Publicat: 2016
Accés en línia:http://hdl.handle.net/1721.1/102486
https://orcid.org/0000-0002-3153-916X
https://orcid.org/0000-0002-3944-0455
https://orcid.org/0000-0003-0076-621X