Abstract
In this paper we propose a pipeline for highly automatic building reconstruction based on 3D point clouds. 3D building models are of great interest for many applications including city planning, navigation, emergency response and tourism and their reconstruction has been intensively studied. It is, however, still a challenge to minimize manual intervention and to achieve highly automated processing in practical applications. The main reason lies in the variability and complexity of urban scenes. We believe that one possible key to tackle this is a reliable primitive-based decomposition of urban scenes as well as their constituent buildings. It links scene interpretation with model reconstruction and, thus, naturally completes an automatic reconstruction pipeline. We propose an effective scheme for the decomposition of the whole scene straight into individual building components, i.e., primitives. The primitives are reconstructed via statistical generative modeling and assembled into individual watertight building models. An experiment has been performed on a dataset of a complete central European village demonstrating the potential of the proposed approach.
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References
Arefi H, Hahn M, Reinartz P (2010) Ridge based decomposition of complex buildings for 3D model generation from high resolution digital surface models. In: The international archives of the photogrammetry, remote sensing and spatial information sciences, vol 38(1/W17)
Brenner C (2004) Modelling 3D objects using weak CSG primitives. In: international archives of photogrammetry and remote sensing, vol 35
Brenner C (2005) Building reconstruction from images and laser scanning. Int J Appl Earth Obs Geoinf, Theme Issue Data Qual Earth Obs Tech 6(3–4):187–198
Brenner C, Haala N (2000) Erfassung von 3D Stadtmodellen. Photogrammetrie - Fernerkundung - Geoinformation 2:109–117
Elberink SO, Vosselman G (2009) Building reconstruction by target based graph matching on incomplete laser data: analysis and limitations. Sensors 9(8):6101. doi:10.3390/s90806101, http://www.mdpi.com/1424-8220/9/8/6101
Haunert JH, Sester M (2008) Area collapse and road centerlines based on straight skeletons. GeoInformatica 12(2):169–191. doi:10.1007/s10707-007-0028-x
Huang H, Brenner C (2011) Rule-based roof plane detection and segmentation from laser point clouds. In: Joint urban remote sensing event (JURSE) 2011, 11–13 April. IEEE, Munich, Germany, pp 293–296. doi:10.1109/JURSE.2011.5764777
Huang H, Brenner C, Sester M (2011) 3D building roof reconstruction from point clouds via generative models. 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS), 1–4 November. ACM Press, Chicago, IL, USA, pp 16–24
Huang H, Mayer H (2015) Robust and efficient urban scene classification using relative features. In: 23rd ACM SIGSPATIAL international conference on advances in geographic information systems. ACM, New York, NY, USA, GIS’15, pp 81:1–81:4. doi:10.1145/2820783.2820872
Huang H, Brenner C, Sester M (2013a) A generative statistical approach to automatic 3D building roof reconstruction from laser scanning data. ISPRS J Photogrammetry Remote Sens 79:29–43. doi:10.1016/j.isprsjprs.2013.02.004, http://www.sciencedirect.com/science/article/pii/S0924271613000476
Huang H, Kieler B, Sester M (2013b) Urban building usage labeling by geometric and context analyses of the footprint data. In: 26th international cartographic conference (ICC)
Kada M, McKinley L (2009) 3D building reconstruction from LiDAR based on a cell decomposition approach. In: The international archives of the photogrammetry, remote sensing and spatial information sciences, vol 38(3/W4), pp 47–52
Kuhn A, Mayer H, Hirschmüller H, Scharstein D (2014) A TV prior for high-quality local multi-view stereo reconstruction. In: 2nd international conference on 3D vision (3DV), pp 65–72
Lafarge F, Mallet C (2012) Creating large-scale city models from 3d-point clouds: a robust approach with hybrid representation. Int J Comput Vision 99(1):69–85
Lafarge F, Descombes X, Zerubia J, Pierrot-Deseilligny M (2010) Structural approach for building reconstruction from a single DSM. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(1):135–147
Mäntylä M (1987) An introduction to solid modeling. Computer Science Press Inc, New York, NY, USA
Partovi T, Huang H, Krauß T, Mayer H, Reinartz P (2015) Statistical Building Roof Reconstruction from WORLDVIEW-2 Stereo Imagery. ISPRS—International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences pp 161–167. doi:10.5194/isprsarchives-XL-3-W2-161-2015
Sampath A, Shan J (2010) Segmentation and reconstruction of polyhedral building roofs from aerial lidar point clouds. IEEE Trans Geosci Remote Sens 48(3):1554–1567. doi:10.1109/TGRS.2009.2030180
Schnabel R, Wessel R, Wahl R, Klein R (2008) Shape recognition in 3D point-clouds. In: The 16th international conference in central europe on computer graphics, visualization and computer vision, 4–7 February, Plzen-Bory, Czech Republic
Vosselman G (2009) Advanced point cloud processing. In: Fritsch D (ed) Photogrammetric Week ’09. Heidelberg, Germany, pp 137–146
Wang H, Zhang W, Chen Y, Chen M, Yan K (2015) Semantic decomposition and reconstruction of compound buildings with symmetric roofs from lidar data and aerial imagery. Remote Sens 7(10):13,945. doi:10.3390/rs71013945, http://www.mdpi.com/2072-4292/7/10/13945
Zhou QY, Neumann U (2012) 2.5D building modeling by discovering global regularities. In: The IEEE computer society conference on computer vision and pattern recognition, 16–21 June. IEEE Computer Society, Providence, RI, USA, pp 326–333
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Huang, H., Mayer, H. (2017). Towards Automatic Large-Scale 3D Building Reconstruction: Primitive Decomposition and Assembly. In: Bregt, A., Sarjakoski, T., van Lammeren, R., Rip, F. (eds) Societal Geo-innovation. AGILE 2017. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-56759-4_12
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DOI: https://doi.org/10.1007/978-3-319-56759-4_12
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