%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2021/09.06.15.20
%2 sid.inpe.br/sibgrapi/2021/09.06.15.20.08
%@doi 10.1109/SIBGRAPI54419.2021.00015
%T Gravity Alignment for Single Panorama Depth Inference
%D 2021
%A Bergmann, Matheus Alan,
%A Pinto, Paulo Gamarra Lessa,
%A Silveira, Thiago Lopes Trugillo da,
%A Jung, Cláudio Rosito,
%@affiliation UFRGS
%@affiliation UFRGS
%@affiliation UFRGS
%@affiliation UFRGS
%E Paiva, Afonso ,
%E Menotti, David ,
%E Baranoski, Gladimir V. G. ,
%E Proença, Hugo Pedro ,
%E Junior, Antonio Lopes Apolinario ,
%E Papa, João Paulo ,
%E Pagliosa, Paulo ,
%E dos Santos, Thiago Oliveira ,
%E e Sá, Asla Medeiros ,
%E da Silveira, Thiago Lopes Trugillo ,
%E Brazil, Emilio Vital ,
%E Ponti, Moacir A. ,
%E Fernandes, Leandro A. F. ,
%E Avila, Sandra,
%B Conference on Graphics, Patterns and Images, 34 (SIBGRAPI)
%C Gramado, RS, Brazil (virtual)
%8 18-22 Oct. 2021
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K upright adjustment, 360-degree images, depth estimation, panoramas.
%X 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.
%@language en
%3 SIBGRAPI_2021___Upright_Correction_and_Depth_Estimation.pdf