@InProceedings{GopiKris:2002:FaEfPr,
               author = "Gopi, M. and Krishnan, Shankar",
                title = "Fast and efficient projection-based approach for surface 
                         reconstruction",
            booktitle = "Proceedings...",
                 year = "2002",
               editor = "Gon{\c{c}}alves, Luiz Marcos Garcia and Musse, Soraia Raupp and 
                         Comba, Jo{\~a}o Luiz Dihl and Giraldi, Gilson and Dreux, 
                         Marcelo",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 15. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Fortaleza, CE, Brazil, from October 7 
                         to 10.",
             abstract = "We present a fast and memory efficient algorithm that generates a 
                         manifold triangular mesh S passing through a set of unorganized 
                         points P {R}^3. Nothing is assumed about the geometry, topology or 
                         presence of boundaries in the data set except that P is sampled 
                         from a real manifold surface. The speed of our algorithm is 
                         derived from a projection-based approach we use to determine the 
                         incident faces on a point. Our algorithm has successfully 
                         reconstructed the surfaces of unorganized point clouds of sizes 
                         varying from 10,000 to 100,000 in about 3--30 seconds on a 250 
                         MHz, R10000 SGI Onyx2. Our technique can be specialized for 
                         different kinds of input and applications. For example, our 
                         algorithm can be specialized to handle data from height fields 
                         like terrain and range scan, even in the presence of noise. We 
                         have successfully generated meshes for range scan data of size 
                         900,000 points in less than 40 seconds.",
  conference-location = "Fortaleza, CE, Brazil",
      conference-year = "10-10 Oct. 2002",
                  doi = "10.1109/SIBGRA.2002.1167141",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2002.1167141",
             language = "en",
         organisation = "SBC - Brazilian Computer Society",
                  ibi = "6qtX3pFwXQZeBBx/vStjr",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/vStjr",
           targetfile = "102.pdf",
        urlaccessdate = "2024, Apr. 27"
}