@InProceedings{NascimentoCarvAndr:2016:ImSeBa,
               author = "Nascimento, Fernando Melo and Carvalho, Andr{\'e} Britto de and 
                         Andrade, Beatriz Trinch{\~a}o",
          affiliation = "{Universidade Federal de Sergipe} and {Universidade Federal de 
                         Sergipe} and {Universidade Federal de Sergipe}",
                title = "Improving the Selection of Bases of BRDFs for Appearance 
                         Preservation",
            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 = "clustering, appearance modeling, genetic algorithms, linear 
                         combination of BRDFs.",
             abstract = "An important step in the appearance preservation of real materials 
                         is the analysis of how they interact with light. Since this 
                         phenomena happens at a microscopic level, heuristics with 
                         different complexity have been developed to capture and reproduce 
                         it. In order to minimize sampling efforts, one of these approaches 
                         consists in representing the reflectance of a material as a linear 
                         combination of a basis of known reflectance functions. To 
                         accomplish realistic and efficient representations, this basis 
                         must be expressive and contain a reduced number of elements. This 
                         work presents three approaches to select such basis. The first one 
                         performs an empirical leave-one-out optimization procedure. The 
                         other two are based on classical and evolutionary clustering 
                         algorithms. To improve clustering results, a new BRDF-oriented 
                         fitness function is designed. These approaches are evaluated using 
                         NNLS algorithm to estimate sampled materials and a comparison 
                         based on numerical precision is performed.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
                  doi = "10.1109/SIBGRAPI.2016.067",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2016.067",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M5JNLP",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M5JNLP",
           targetfile = "Sibgrapi_2016.pdf",
        urlaccessdate = "2024, May 03"
}