LOD2 Building Generation Experiences and Comparisons

Biljecki, F., Ledoux, H., Stoter, J., 2016. An improved LOD specification for 3D building models: Computers, Environment and Urban Systems.10.1016/j.compenvurbsys.2016.04.005Search in Google Scholar

Dorninger, P. & Pfeifer, N., 2008. A Comprehensive Automated 3D Approach for Building Extraction, Reconstruction, and Regularization from Airborne Laser Scanning Point Clouds. Sensors. Vol. 8:11. pp. 7323-7343. DOI: 10.3390/s8117323. ISSN 1424-8220.10.3390/s8117323.ISSN1424-8220Open DOISearch in Google Scholar

Gröger, G. & Plümer, L., 2012. CityGML – Interoperable semantic 3D city models. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 71. pp 12-33. DOI: 10.1016/j.isprsjprs.2012.04.004. ISSN: 0924-2716.10.1016/j.isprsjprs.2012.04.004.ISSN:0924-2716Open DOISearch in Google Scholar

Haala, N., Kada, M., 2010. An Update on Automatic 3D Building Reconstruction. Isprs Journal of Photogrammetry and Remote Sensing 65, 570-580.10.1016/j.isprsjprs.2010.09.006Search in Google Scholar

Lafarge, F. & Mallet, C., 2012. Creating Large-Scale City Models from 3D-Point Clouds: A Robust Approach with Hybrid Representation. International journal of computer vision 99, 69-85.10.1007/s11263-012-0517-8Search in Google Scholar

Nan, L., Wonka, P., 2017. PolyFit: Polygonal Surface Reconstruction from Point Clouds: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Venice, Italy, pp. 2353-2361.10.1109/ICCV.2017.258Search in Google Scholar

Nex, F., Gerke, M., Remondino, F., Przybilla, H.-J., Bäumker, M., Zurhorst, A., 2015. ISPRS benchmark for multi-platform photogrammetry: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. II-3/W4, pp. 135-142.10.5194/isprsannals-II-3-W4-135-2015Search in Google Scholar

Ozdemir, E., Remondino, F., 2018. Segmentation of 3D photogrammetric point cloud for 3D building modeling: ISPRS International archives of photogrammetry, remote sensing and spatial information sciences, Vol. XLII-4/W10, pp. 135-142.10.5194/isprs-archives-XLII-4-W10-135-2018Search in Google Scholar

Rabbani, T., van den Heuvel, F. A., Vosselman, G., 2006. Segmentation of point clouds using smoothness constraint: International archives of photogrammetry, remote sensing and spatial information sciences, Vol. 36(5).Search in Google Scholar

Remondino, F., Gerke, M., 2015. Oblique Aerial Imagery – A Review: Proc. Photogrammetric Week 2015, D. Fritsch (Ed.), pp. 75-83.Search in Google Scholar

Remondino, F., Toschi, I., Gerke, M., Nex, F., Holland, D., McGill, A., Talaya Lopez, J., Magarinos, A., 2016. Oblique Aerial Imagery for NMA – Some Best Practices: International archives of photogrammetry, remote sensing and spatial information sciences, Vol. XLI-B4.10.5194/isprsarchives-XLI-B4-639-2016Search in Google Scholar

Nan, L., 2018: https://3d.bk.tudelft.nl/liangliang/software.html (view at 10 June 2018).Search in Google Scholar

Random sample consensus, 2018: https://en.wikipedia.org/wiki/Random_sample_consensus (view at 17 June 2018).Search in Google Scholar

REA Grant Agreement, 2017: https://ec.europa.eu/research/participants/portal/desktop/en/opportunities/h2020/calls/h2020-msca-rise-2018.html#c,topics=callIdentifier/t/H2020-MSCA-RISE-2018 (view at 15 November 2017).Search in Google Scholar

Ushakov, S., n.d.: http://pointclouds.org/documentation/tutorials/region_growing_segmentation.php (view at 13 June 2018).Search in Google Scholar

Virtual City System, 2018: https://www.virtualcitysystems.de/en (view at 23 June 2018).Search in Google Scholar

VOLTA, 2017: http://volta.fbk.eu (view at 5 March 2018).Search in Google Scholar