@InProceedings{TorrećoFern:2004:PhShSh,
               author = "Torre{\~a}o, Jos{\'e} Ricardo de Almeida and Fernandes, 
                         Jo{\~a}o Luiz",
          affiliation = "{Universidade Federal Fluminense} and {Pontif{\'{\i}}cia 
                         Universidade Cat{\'o}lica do Paran{\'a}}",
                title = "From photometric-motion to shape from shading",
            booktitle = "Proceedings...",
                 year = "2004",
               editor = "Ara{\'u}jo, Arnaldo de Albuquerque and Comba, Jo{\~a}o Luiz Dihl 
                         and Navazo, Isabel and Sousa, Ant{\^o}nio Augusto de",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 17. 
                         (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 
                         (SIACG)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "computer vision, shape estimation, Green's function.",
             abstract = "A new approach to shape estimation from shading input has been 
                         recently introduced through the processes of disparity-based 
                         photometric stereo (DBPS) and Green's function shape from shading 
                         (GSFS). Both processes start from a pair of constraints - a 
                         matching constraint and a photometric constraint - to arrive at a 
                         closed-form expression for the depth function of the imaged 
                         surface. In DBPS, the matching equation is solved for the 
                         disparity map, given a pair of photometric stereo images, while in 
                         GSFS, which extends the previous approach to single-input 
                         reconstruction, that equation is solved for the matching image, 
                         via Green's function. Adopting a similar framework, we have 
                         recently used photometric and matching constraints for deriving a 
                         new approach to the photometric-motion shape estimation problem. 
                         Here we show how we can extend that process to the single-input 
                         case, via Green's function. This yields high quality 
                         shape-from-shading estimates, even from real input obtained under 
                         complex illumination.",
  conference-location = "Curitiba, PR, Brazil",
      conference-year = "17-20 Oct. 2004",
                  doi = "10.1109/SIBGRA.2004.1352960",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2004.1352960",
             language = "en",
                  ibi = "6qtX3pFwXQZeBBx/DFcsq",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/DFcsq",
           targetfile = "Torreao_Fernandes.pdf",
        urlaccessdate = "2024, May 03"
}