Single Image 3D Building Reconstruction Using Rectangles Parallel to an Axis
Resumo
Historic photographic collections are valuable documents of urban evolution through time. Many historic buildings documented in such collections may have been demolished or changed over time. Digital modeling such buildings may be challenging due to the reduced amount of information available that may be limited to a few images and/or schematic drawings. This paper presents a method to create a 3D set of rectangles that approximates elements of a scene (such as walls, floors, and roofs) from a single image. Using a pinhole camera model, the extraction of geometry and texture of planes parallel to an axis can be obtained after a camera calibration step that recovers intrinsic parameters of the model. Results show that a good visualization of the scene can be created, using the proposed technique, from a single image.
Referências
K. Bai, X. Liao, Q. Zhang, X. Jia, and S. Liu, “Survey of learning based single image super-resolution reconstruction technology,” Pattern Recognition and Image Analysis, vol. 30, no. 4, pp. 567-577, Oct. 2020.
E. Guillou, D. Meneveaux, E. Maisel, and K. Bouatouch, “Using vanishing points for camera calibration and coarse 3d reconstruction from a single image,” The Visual Computer, vol. 16, pp. 396-410, 11 2000.
B. S. V. Alvarez, P. C. P. Carvalho, and M. Gattass, “Insertion of threedimensional objects in architectural photos,” in The 10-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2002, WSCG 2002, University of West Bohemia, Campus Bory, Plzen-Bory, Czech Republic, February 4-8, 2002, 2002, pp. 17-23.
P. E. Debevec, C. J. Taylor, and J. Malik, “Modeling and rendering architecture from photographs: A hybrid geometry- and image-based approach,” in Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, ser. SIGGRAPH '96. New York, NY, USA: Association for Computing Machinery, 1996, p. 11-20.
S. Ochmann, R. Vock, R. Wessel, and R. Klein, “Automatic reconstruction of parametric building models from indoor point clouds,” Computers and Graphics, vol. 54, pp. 94-103, 2016, special Issue on CAD/Graphics 2015.
T. Dornelles and C. Jung, “Online frame-to-model pipeline to 3d reconstruction with depth cameras using rgb-d information,” in Conference on Graphics, Patterns and Images, 33. (SIBGRAPI), 2020, Virtual. Proceedings. Los Alamitos: IEEE Computer Society, 2020, On-line.
J. Mahmud, T. Price, A. Bapat, and J.-M. Frahm, “Boundary-aware 3d building reconstruction from a single overhead image,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2020.
I. Suveg and G. Vosselman, “Reconstruction of 3d building models from aerial images and maps,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 58, no. 3, pp. 202-224, 2004, integration of Geodata and Imagery for Automated Refinement and Update of Spatial Databases.
F. Rottensteiner, G. Sohn, J. Jung, M. Gerke, C. Baillard, S. Benitez, and U. Breitkopf, “The isprs benchmark on urban object classification and 3d building reconstruction,” 2012.
