@InProceedings{VaretoCostSchw:2016:FaIdLa,
               author = "Vareto, Rafael Henrique and Costa, Filipe and Schwartz, William 
                         Robson",
          affiliation = "{Universidade Federal de Minas Gerais} and {Universidade Federal 
                         de Minas Gerais} and {Universidade Federal de Minas Gerais}",
                title = "Face Identification in Large Galleries",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Distractors, Partial Least Squares, Face Hashing, Scalability, 
                         Face Identification.",
             abstract = "Face Recognition is one of the most studied problems in computer 
                         vision due to its importance to areas such as forensics, 
                         surveillance, neuroscience and psychology. This work comprises a 
                         preliminary study of the face identification (one of the tasks 
                         comprising face recognition) considering large galleries. We 
                         analyze how the face recognition rate behaves under the presence 
                         of an increasing number of individuals in the gallery set, 
                         referred to as distractors. Nowadays, many real-world applications 
                         demand face search and identification at colossal scale. 
                         Therefore, we direct our attention towards the 1:N face 
                         identification task, where N, the gallery size, is extremely 
                         large. The idea behind this work is to study and evaluate the 
                         performance of face identification for such large face 
                         galleries.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "en",
                  ibi = "8JMKD3MGPAW/3ME3658",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3ME3658",
           targetfile = "main.pdf",
        urlaccessdate = "2024, May 03"
}