author = "Takahashi, Kentaro and Kaneda, Kazufumi and Yamashita, Hideo",
          affiliation = "{Faculty of Engineering of Hiroshima University} and {Faculty of 
                         Engineering of Hiroshima University} and {Faculty of Engineering 
                         of Hiroshima University}",
                title = "Radiosity and Hopfield neural networks applied to inverse lighting 
                         design: initial attempts in 3D",
            booktitle = "Anais...",
                 year = "1995",
               editor = "Lotufo, Roberto de Alencar and Mascarenhas, Nelson Delfino 
                pages = "323--324",
         organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e 
                         Processamento de Imagens, 8. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "radiosity, Hopfield neural networks, Reverse lighting design, 
                         lighting 3D environments.",
             abstract = "This technical communication describes the employment of a new 
                         method that gathers radiosity and the Hopfield Neural Network 
                         applied to the task of designing the lighting of a closed space 
                         and considering interreflection of light. The proposed method 
                         finds the best luminous intensity, according to a showcase of 
                         realizable luminous intensities that are passive of being produced 
                         by the industry or be available in the market. Partial results of 
                         the algorithms applied to the lighting of 3D environments are 
  conference-location = "S{\~a}o Carlos",
      conference-year = "25 - 27 out. 1995",
                 isbn = "978-85-7669-273-7",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3DJCSJ2",
                  url = "",
           targetfile = "54 Radiosity and hopfield neural.pdf",
                 type = "Geral (Comunica{\c{c}}{\~o}es)",
        urlaccessdate = "2020, Nov. 24"