@InProceedings{FernandesJrMatoArag:2016:GeApFa,
               author = "Fernandes Junior, Jovan de Andrade and Matos, Leonardo Nogueira 
                         and Arag{\~a}o, Maria G{\'e}ssica dos Santos",
                title = "Geometrical approaches for facial expression recognition using 
                         support vector machines",
            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 = "IEEE Computer Society´s Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "facial expression recognition, PDM, CFS, correlation features 
                         selection, Cohn-Kanade database.",
             abstract = "This article presents two facial geometric-based approaches for 
                         facial expression recognition using support vector machines. The 
                         first method performed an experimental research to identify the 
                         relevant geometric features for human point of view and achieved 
                         85% of recognition rate. The second experiment employed the 
                         Correlation Feature Selection and achieved 96.11% of recognition 
                         rate. All experiments were carried out with Cohn-Kanade database 
                         and the results obtained are compatible with the state-of-the-art 
                         in this in this research area.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
                  doi = "10.1109/SIBGRAPI.2016.055",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2016.055",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M5B33E",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M5B33E",
           targetfile = "PID4367509.pdf",
        urlaccessdate = "2024, Apr. 27"
}