@InProceedings{AmaralGiraThom:2015:StCoSp,
               author = "Amaral, Vagner and Giraldi, Gilson A. and Thomaz, Carlos E.",
          affiliation = "Department of Electrical Engineering, Centro Universit{\'a}rio da 
                         FEI and Department of Computer Science, LNCC and Department of 
                         Electrical Engineering, Centro Universit{\'a}rio da FEI",
                title = "Statistical and Cognitive Spatial Mapping Applied to Face 
                         Analysis",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Rios, Ricardo Araujo and Paiva, Afonso",
         organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "task driven, statistical, cognitive, LBP, face analysis.",
             abstract = "The natural process of pattern recognition has always played a key 
                         role in the species survival. For human beings the face 
                         recognition has become an essential tool in interpersonal 
                         relations and this subject always received attention in the 
                         computer vision area due to its applicability. It has been 
                         proposed recently, with promising results, a spatial mapping 
                         technique that highlights the most discriminating facial features 
                         employing some task driven information. The aim of this paper is 
                         to compare two distinct methods to define such spatial maps 
                         related to some recognition tasks. The first relies on statistical 
                         significant differences from the samples and the second on gaze 
                         data calculated from eye tracking experiments carried out.",
  conference-location = "Salvador, BA, Brazil",
      conference-year = "26-29 Aug. 2015",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3JRP44P",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JRP44P",
           targetfile = "Paper14_Final.pdf",
        urlaccessdate = "2024, May 02"
}