@InProceedings{ZavanGaBaSiAlBeSi:2017:FaAnWi,
               author = "Zavan, Fl{\'a}vio Henrique de Bittencourt and Gasparin, Nathaly 
                         and Batista, J{\'u}lio C{\'e}sar and Silva, Luan 
                         Porf{\'{\i}}rio e and Albiero, V{\'{\i}}tor and Bellon, Olga 
                         Regina Pereira and Silva, Luciano",
          affiliation = "{Universidade Federal do Paran{\'a}} and {Universidade Federal do 
                         Paran{\'a}} and {Universidade Federal do Paran{\'a}} and 
                         {Universidade Federal do Paran{\'a}} and {Universidade Federal do 
                         Paran{\'a}} and {Universidade Federal do Paran{\'a}} and 
                         {Universidade Federal do Paran{\'a}}",
                title = "Face Analysis in the Wild",
            booktitle = "Proceedings...",
                 year = "2017",
               editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and 
                         Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and 
                         Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba, 
                         Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo 
                         and Vital, Creto and Pagot, Christian Azambuja and Petronetto, 
                         Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
         organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "face processing, face analysis.",
             abstract = "With the global demand for extra security systems, and the growing 
                         of human-machine interaction, facial analysis in unconstrained 
                         environments (in the wild) became a hot-topic in recent computer 
                         vision research. Unconstrained environments include surveillance 
                         footage, social media photos and live broadcasts. This type of 
                         images and videos include no control over illumination, position, 
                         size, occlusion, and facial expressions. Successful facial 
                         processing methods for controlled scenarios are unable to pledge 
                         with challenging circumstances. Consequently, methods tailored for 
                         handling those situations are indispensable for the face analysis 
                         research progress. This work presents a comprehensive review of 
                         state-of-the-art methods, drawing attention to the complications 
                         derived from in the wild scenarios and the behavior differences 
                         when applied to the controlled images. The main topics to be 
                         covered are: (1) face detection; (2) facial image quality; (3) 
                         head pose estimation; (4) face alignment; (5) 3D face 
                         reconstruction; (6) gender and age estimation; (7) facial 
                         expressions and emotions; and (8) face recognition. Finally, 
                         available code and applications for in the wild face analysis are 
                         presented, followed by a discussion on future directions.",
  conference-location = "Niter{\'o}i, RJ, Brazil",
      conference-year = "17-20 Oct. 2017",
             language = "en",
                  ibi = "8JMKD3MGPAW/3PJ4DUP",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3PJ4DUP",
           targetfile = "PID4984285.pdf",
        urlaccessdate = "2024, May 02"
}