Abstract
We present an automatic approach to create building models from terrestrial laser points. Our method starts by extracting important building features (wall, window, roof, door, extrusion) from segmented terrestrial point cloud. Then visible building geometries are recovered by direct fitting polygons to extracted feature segments. For the occluded building parts, geometric assumptions are made from visible parts and knowledge about buildings. Finally solid building models can be obtained by combining directly fitted polygons and assumptions for occluded parts. This approach achieves high automation, level of detail, and accuracy.
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References
Barber, C. B., Dobkin, D. P., and Huhdanpaa, H. T., 1996, The Quickhull Algorithm for Convex Hulls, ACM Trans. Mathematical Software 22, 469–483
Brenner, C., 2000, Towards Fully Automatic Generation of City Models, XIX ISPRS Congress IAPRS, Amsterdam, the Netherlands, pp. 85–92
Brenner, C., 2003, Building Reconstruction from Laser Scanning and Images, Proc. ITC Workshop on Data Quality in Earth Observation Techniques, Enschede, the Netherlands
B Gorte, N Pfeifer, 2004, Structuring Laser-scanned Trees Using 3D Mathematical Morphology, International Archives of Photogrammetry and Remote Sensing, Vol. XXXV, Istanbul, Turkey.
H. Woo, E. Kang, Semyung Wang and Kwan H. Lee, 2002, A New Segmentation Method for Point Cloud Data, International Journal of Machine Tools and Manufacture, January, vol. 42, no. 2, pp. 167–178 (12)
Maas, H.-G., 2001, The Suitability of Airborne Laser Scanner Data for Automatic 3D Object Reconstruction, Third International Workshop on Automatic Extraction of Man-Made Objects from Aerial and Space Images, Ascona, Switzerland.
Rabbani, T., Heuvel, F.A. van den, Vosselman, G., 2006, Segmentation of Point Clouds Using Smoothness Constraints, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 36, part 5, Dresden, Germany, September 25–27, pp. 248–253
Pu, S., Vosselman, G., 2006, Automatic extraction of building features from terrestrial laser scanning, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 36, part 5, Dresden, Germany, September 25–27, 5 p.
Suveg, I., Vosselman, G., 2004, Reconstruction of 3D Building Models from Aerial Images and Maps, ISPRS Journal of Photogrammetry and Remote Sensing 58(3–4), p202–224.
Vosselman, G., B. Gorte, G. Sithole and Rabbani, T., 2004, Recognizing Structure in Laser Scanner Point Clouds, International Conference NATSCAN, Laser-Scanners for Fores and Landscape, Processing Methods and Applications, ISPRS working group VIII/2, Freiburg im Breisgau, Germany.
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Pu, S. (2008). Automatic building modeling from terrestrial laser scanning. In: van Oosterom, P., Zlatanova, S., Penninga, F., Fendel, E.M. (eds) Advances in 3D Geoinformation Systems. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72135-2_9
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DOI: https://doi.org/10.1007/978-3-540-72135-2_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72134-5
Online ISBN: 978-3-540-72135-2
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