@InProceedings{PenhaSilvOliv:2016:ViAnMo,
               author = "Penha, Jo{\~a}o Paulo Gomes and Silva, Pablo Ricardo Roxo and 
                         Oliveira, Luciano Rebou{\c{c}}as de",
                title = "Visual Analysis of Morphological Features of Live Cattle From 
                         RGB-D-T Data",
            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 = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Live Cattle, Visual Analysis, RGB-D-T Data.",
             abstract = "Based on the analyses performed by experts, models have been 
                         created to assessing body condition of livestock. The goal is to 
                         identify parameters of quality that are perceived from identified 
                         visual features. Although human visual assessment is still the 
                         main way used to analyze morphological structures of livestock, it 
                         needs improvements in accuracy, agility and automation. Our work 
                         proposes the development of an automated system for automatic 
                         visual analysis of morphological features of live cattle by means 
                         of a fusion of RGB-D and thermal cameras. The goal is to rank the 
                         animals from their visual features in a qualitative and 
                         quantitative way. Since morphological features are associated with 
                         genetic improvement methods, the proposed system aims at 
                         recommending a balanced bio-type -- suitable for breeding, abate 
                         and commercialization. The ultimate goal is to improve cattle 
                         productivity. This paper contextualizes the problem, proposing a 
                         generic framework for the automatic system.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M8QR3E",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M8QR3E",
           targetfile = "artigo-sibgrapi.pdf",
        urlaccessdate = "2024, May 02"
}