@InProceedings{RibeiroHanc:1999:ScAdMe,
               author = "Ribeiro, Eraldo and Hancock, Edwin R.",
                title = "A scale adaptive method for estimating the perspective pose of 
                         texture planes",
            booktitle = "Proceedings...",
                 year = "1999",
               editor = "Stolfi, Jorge and Tozzi, Cl{\'e}sio Luis",
                pages = "187--194",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 12. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Campinas, SP, Brazil, from October 17 
                         to 20.",
             keywords = "shape-from-texture, unit-sphere accumulation, adaptive spectral 
                         analysis, texture analysis, planar surface recovery.",
             abstract = "Multiple vanishing point detection provides the key to recovering 
                         the perspective pose of textured planes. If vanishing points are 
                         to be detected from spectral information then there are two 
                         computational problems that need to be solved. Firstly, the search 
                         of the extended image plane is unbounded, and hence the location 
                         of vanishing points at or near infinity is difficult. Secondly, 
                         correspondences between local spectra need to be established so 
                         that vanishing points can be triangulated. In this paper we offer 
                         a way of overcoming these two difficulties. We overcome the 
                         problem of unbounded search by mapping the information provided by 
                         local spectral maps onto a great circle on the unit-sphere. The 
                         need for correspondence is overcome by accumulating the great 
                         circle intercepts. Vanishing points occur at local accumulator 
                         maxima on the unit sphere. To improve the accuracy of the 
                         recovered perspective pose parameters for highly slanted planes, 
                         we use an adaptive spectral window. This selects the window so as 
                         to reduce spectral defocusing by minimising the determinant of the 
                         spectral covariance matrix. We experiment with the new 
                         shape-from-texture technique on both synthetic and real world 
                         data. Here it proves to be an accurate and robust means of 
                         estimating perspective pose.",
  conference-location = "Campinas, SP, Brazil",
      conference-year = "17-20 Oct. 1999",
                  doi = "10.1109/SIBGRA.1999.805724",
                  url = "http://dx.doi.org/10.1109/SIBGRA.1999.805724",
         organisation = "SBC - Brazilian Computer Society and UNICAMP - University of 
                         Campinas",
                  ibi = "83LX3pFwXQZ4BFjAq/jiHhi",
                  url = "http://urlib.net/ibi/83LX3pFwXQZ4BFjAq/jiHhi",
           targetfile = "039-23514808.pdf",
        urlaccessdate = "2024, May 02"
}