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@InProceedings{CarmoAlveOliv:2017:FaIdBa,
               author = "Carmo, Diedre and Alves, Raul and Oliveira, Luciano",
                title = "Face identification based on synergism of classifiers in rectified 
                         stereo images",
            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 = "computer vision, stereo camera, face identification.",
             abstract = "This paper proposes a method to identify faces from a stereo 
                         camera. Our approach tries to avoid common problems that come with 
                         using only one camera that shall arise while detecting from a 
                         relatively unstable view in real world applications. The proposed 
                         approach exploits the use of a local binary pattern (LBP) to 
                         describe the faces in each image of the stereo camera, after 
                         detecting the face using the Viola- Jones method. LBP histogram 
                         feeds then multilayer perceptron (MLP) and support vector machine 
                         classifiers to identify the faces detected in each stereo image, 
                         considering a database of target faces. Computational cost problem 
                         due to the use of dual cameras are alleviated with the use of 
                         co-planar rectified images, achieved through calibration of the 
                         stereo camera. Performance is assessed using the well established 
                         Yale face dataset, and performance is assessed by using only one 
                         or both camera images.",
  conference-location = "Niter{\'o}i, RJ",
      conference-year = "Oct. 17-20, 2017",
             language = "en",
                  ibi = "8JMKD3MGPAW/3PJ53LS",
                  url = "http://urlib.net/rep/8JMKD3MGPAW/3PJ53LS",
           targetfile = "final-sibgrapi-wuw-tcc.pdf",
        urlaccessdate = "2021, Jan. 26"
}


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