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@InProceedings{OliveiraWazl:2005:LiCoSt,
               author = "Oliveira, Marco Antonio Floriano de and Wazlavick, Raul Sidnei",
          affiliation = "{Federal University of Santa Catarina (UFSC)}",
                title = "Linear complexity stereo matching based on region indexing",
            booktitle = "Proceedings...",
                 year = "2005",
               editor = "Rodrigues, Maria Andr{\'e}ia Formico and Frery, Alejandro 
                         C{\'e}sar",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 18. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "stereo vision, linear complexity, real-time.",
             abstract = "This paper presents a linear complexity method for real-time 
                         stereo matching, in which the processing time is only dependent on 
                         the image resolution. Regions along each epipolar line are indexed 
                         to produce the disparity map, instead of searching for the best 
                         match. Current local methods have non-linear complexity, as they 
                         all rely on searching through a correlation space. The present 
                         method is limited to a parallel camera setup, because all 
                         disparities must occur in the same direction. A continuity 
                         constraint is applied in order to remove false matches. The 
                         resulting map is semi-dense, but disparities are well distributed. 
                         Experimental results on standard datasets reach around 90% of 
                         accuracy using the same parameters in all tests.",
  conference-location = "Natal",
      conference-year = "9-12 Oct. 2005",
             language = "en",
           targetfile = "OliveiraM_stereo.pdf",
        urlaccessdate = "2020, Nov. 25"
}


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