Face and eye detection on hard datasets

Autoria(s): Parris, Jon; Wilber, Michael; Heflin, Brian; Rara, Ham; El-barkouky, Ahmed; Farag, Aly; Movellan, Javier; Castrillón-Santana, Modesto; Lorenzo Navarro, José Javier; Teli, Mohammad Nayeem; Marcel, Sebastien; Atanasoaei, Cosmin; Boult, T.E.
Data(s)

24/11/2015

24/11/2015

2011
Resumo

<p>[EN] This paper analyzes the detection and localization performance of the participating face and eye algorithms compared with the Viola Jones detector and four leading commercial face detectors. Performance is characterized under the different conditions and parameterized by per-image brightness and contrast. In localization accuracy for eyes, the groups/companies focusing on long-range face detection outperform leading commercial applications.</p>
Identificador

http://hdl.handle.net/10553/15083

716480

<p>10.1109/IJCB.2011.6117593</p>
Idioma(s)

eng
Direitos

info:eu-repo/semantics/openAccess
Fonte

<p>Biometrics (IJCB), 2011 International Joint Conference on Biometrics Compendium, IEEE</p>
Palavras-Chave #120304 Inteligencia artificial
Tipo

info:eu-repo/semantics/conferenceObject
Acesso ao item digital