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@InProceedings{BellonCastTozz:1995:SeImPr,
               author = "Bellon, Olga Regina Pereira and Castanho, Jos{\'e} Eduardo Cogo 
                         and Tozzi, Cl{\'e}sio Luis",
          affiliation = "{Departamento de Inform{\'a}tica da Universidade Federal do 
                         Paran{\'a} (UFPR)} and {Departamento de Engenharia El{\'e}trica 
                         da Faculdade de Engenharia e Tecnologia da Universidade Estadual 
                         Paulista J{\'u}lio de Mesquita Filho (UNESP)} and {Departamento 
                         de Engenharia de Computa{\c{c}}{\~a}o e Automa{\c{c}}{\~a}o da 
                         Faculdade de Engenharia El{\'e}trica da Universidade Estadual de 
                         Campinas (UNICAMP)}",
                title = "Segmenta{\c{c}}{\~a}o/reconstru{\c{c}}{\~a}o de imagens de 
                         profundidade associando detec{\c{c}}{\~a}o de bordas e 
                         agrupamento",
            booktitle = "Anais...",
                 year = "1995",
               editor = "Lotufo, Roberto de Alencar and Mascarenhas, Nelson Delfino 
                         d'{\'A}vila",
                pages = "219--226",
         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 = "range image, range image segmentation, reconstruction, clustering, 
                         edge detection, plane fitting.",
             abstract = "In the last years, range sensor technology has been greatly 
                         enhanced enabling range images to be more used in computer vision 
                         applications. The explicit presence of the range information 
                         eliminates the need for processing the image with the objective of 
                         extracting 3D information, which is usual with intensity image. 
                         Although, other questions remain such as segmentation and 
                         reconstruction. The main techniques used to solve the 
                         segmentation/reconstruction problem in range image are region 
                         growing, split and merge, and clustering. Region growing and 
                         split-and-merge algorithms present the problem that they have to 
                         deal with threshold values that are difficult to obtain. 
                         Clustering algorithms suffer less influence of this kind of 
                         problem, although other problems exist. A 
                         segmentation/reconstruction technique based on the clustering 
                         approach is presented to approximate regions of a range image by 
                         planes. The main goal is to reconstruct the image with a minimum 
                         error and with simplicity. The association with techniques of 
                         range edge detection is proposed to minimize problems of the 
                         clustering techniques. Some reconstruction results using simulated 
                         images are presented.",
  conference-location = "S{\~a}o Carlos",
      conference-year = "25 - 27 out. 1995",
                 isbn = "978-85-7669-273-7",
             language = "pt",
                  ibi = "8JMKD3MGPBW34M/3DJCFUB",
                  url = "http://urlib.net/rep/8JMKD3MGPBW34M/3DJCFUB",
           targetfile = "28 Segmentacao _ reconstrucao.pdf",
                 type = "Vis{\~a}o por Computador",
        urlaccessdate = "2020, Nov. 24"
}


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