@InProceedings{BergmannPintSilvJung:2021:GrAlSi,
               author = "Bergmann, Matheus Alan and Pinto, Paulo Gamarra Lessa and 
                         Silveira, Thiago Lopes Trugillo da and Jung, Cl{\'a}udio Rosito",
          affiliation = "UFRGS  and UFRGS  and UFRGS  and UFRGS",
                title = "Gravity Alignment for Single Panorama Depth Inference",
            booktitle = "Proceedings...",
                 year = "2021",
               editor = "Paiva, Afonso and Menotti, David and Baranoski, Gladimir V. G. and 
                         Proen{\c{c}}a, Hugo Pedro and Junior, Antonio Lopes Apolinario 
                         and Papa, Jo{\~a}o Paulo and Pagliosa, Paulo and dos Santos, 
                         Thiago Oliveira and e S{\'a}, Asla Medeiros and da Silveira, 
                         Thiago Lopes Trugillo and Brazil, Emilio Vital and Ponti, Moacir 
                         A. and Fernandes, Leandro A. F. and Avila, Sandra",
         organization = "Conference on Graphics, Patterns and Images, 34. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "upright adjustment, 360-degree images, depth estimation, 
                         panoramas.",
             abstract = "Monocular depth inference methods based on 360° images allow 3D 
                         reconstruction of entire rooms with a single capture. However, 
                         most state-of-the-art approaches assume gravity-aligned images and 
                         are highly sensitive to camera rotations. Such limitations result 
                         in poor depth estimates, which may jeopardize further 3D-based 
                         applications. Here, we present a pipeline for spherical 
                         single-image depth inference supplied by a novel rotation 
                         correction module. We show that our gravity alignment module can 
                         improve existing single-image depth estimation methods, being also 
                         useful for aligning color and depth to the horizon, which is 
                         highly desirable in many applications.",
  conference-location = "Gramado, RS, Brazil (virtual)",
      conference-year = "18-22 Oct. 2021",
                  doi = "10.1109/SIBGRAPI54419.2021.00015",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI54419.2021.00015",
             language = "en",
                  ibi = "8JMKD3MGPEW34M/45CTJNE",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/45CTJNE",
           targetfile = "SIBGRAPI_2021___Upright_Correction_and_Depth_Estimation.pdf",
        urlaccessdate = "2024, May 06"
}