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@InProceedings{CardosoGome:2007:PrApSk,
               author = "Cardoso, Fernando H. B. and Gomes, Herman M.",
          affiliation = "{Universidade Federal de Campina Grande} and {Universidade Federal 
                         de Campina Grande}",
                title = "A Probabilistic Approach to Skin Detection",
            booktitle = "Proceedings...",
                 year = "2007",
               editor = "Gon{\c{c}}alves, Luiz and Wu, Shin Ting",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20. 
                         (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Probabilistic Skin Detection Learning Segmentation.",
             abstract = "In this paper, we present an approach to skin detection in images, 
                         which labels each pixel as skin or nonskin based on a simple 
                         probabilistic model acquired from a database of manually labeled 
                         images. We tested several variations of this approach (using 
                         different color spaces and pre-processing techniques) and the 
                         achieved accuracy seemed quite encouraging with, a detection rate 
                         of 77,79%.",
  conference-location = "Belo Horizonte",
      conference-year = "Oct. 7-10, 2007",
             language = "en",
           targetfile = "CG07_final.pdf",
        urlaccessdate = "2020, Oct. 26"
}


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