@InProceedings{QueirozPamp:2015:AnAcMé,
               author = "Queiroz, Jonathan Coutinho Luz de and Pamplona Segundo, 
                         Maur{\'{\i}}cio",
          affiliation = "{Universidade Federal da Bahia} and {Universidade Federal da 
                         Bahia}",
                title = "An{\'a}lise da acur{\'a}cia de m{\'e}todos de 
                         descri{\c{c}}{\~a}o 2D para o reconhecimento facial 3D",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Vieira, Thales Miranda de Almeida and Mello, Vinicius Moreira",
         organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "reconhecimento facial, biometria, vis{\~a}o computacional.",
             abstract = "With the growing need for strict access control of computational 
                         systems, face recognition has shown to be viable and effective in 
                         authentication systems. In particular, face recognition based on 
                         3D images by converting them to 2D images has been studied due to 
                         the reduced influence of factors such as illumination and pose. 
                         This approach consists in the application of projection techniques 
                         to obtain 2D images, which allows the application of traditional 
                         2D description methods for recognition. The focus of this work is 
                         the analysis of the accuracy achieved by these methods in the 3D 
                         face recognition. To this end, we compared the obtained results 
                         for UGS, PCA, HOG, LBP and LDA descriptors. The main contribution 
                         is the observation that robust methods such as HOG, LBP and PCA 
                         yield lower performance than UGS, which is much more simple, when 
                         used for 3D face recognition. This demonstrates the necessity of 
                         developing description methods specifically for this task.",
  conference-location = "Salvador, BA, Brazil",
      conference-year = "26-29 Aug. 2015",
             language = "pt",
                  ibi = "8JMKD3MGPBW34M/3JT4CT5",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JT4CT5",
           targetfile = "main-ready.pdf",
        urlaccessdate = "2024, May 06"
}