@InProceedings{PotjeNascCamp:2016:ImThRe,
               author = "Potje, Guilherme and Nascimento, Erickson R. and Campos, Mario F. 
                         M.",
          affiliation = "DCC-UFMG and DCC-UFMG and DCC-UFMG",
                title = "On the improvement of three-dimensional reconstruction from large 
                         datasets",
            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 = "Structure-from-Motion, 3D Mapping.",
             abstract = "The digital cameras granted many possibilities of structure and 
                         shape recovery from imagery that are quickly and inexpensively 
                         acquired by such devices. The state-of-art algorithms are now able 
                         to deliver 3D structure acquisition results from consumer-grade 
                         image sensors with quality and resolution comparable to industry 
                         standard systems. Nonetheless, the processing time of the 
                         collected imagery to produce a 3D model quickly becomes 
                         prohibitive as the number of input images increases, demanding 
                         powerful hardware and days of processing time to generate full 3D 
                         models . In this work we propose an efficient approach based on 
                         Structure-from-Motion and multi-view stereo reconstruction 
                         techniques to automatically generate 3D models from images. The 
                         results from six large aerial datasets acquired by UAVs and four 
                         terrestrial datasets show that our approach outperforms current 
                         strategies in processing time compared to three state-of-the-art 
                         SfM methods, while also preserving accuracy.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M9GMT5",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M9GMT5",
           targetfile = "CameraReadyGuilhermePotje.pdf",
        urlaccessdate = "2024, May 02"
}