Abstract
Point cloud is a product of laser scanning (terrestrial/airborne) or it can be derived from automatic image matching. Both techniques are very modern and progressive methods of non-selective collection of spatial data. The representation of buildings through point cloud is not appropriate for many applications. Handling with a set of data points, covering large areas is also very hardware consuming. For these reasons, it is suitable to represent individual buildings as spatial objects, called 3D models. This paper is a review of fully automatic generation of 3D building models from point clouds. It compares the solutions of various academic institutes and analyzes current commercial software products that process this task. In this work, data point clouds collected by airborne laser scanning will be used as an input. A major influence on the generation of 3D building models have the density and quality of the point cloud, which are determined by scanning parameters. For this reason, various input datasets will be tested.
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References
Haala N, Brenner C (1997) Generation of 3D city models from airborne laser scanning data. In: Proceedings 3rd EARSEL workshop on LIDAR remote sensing on land and sea, Tallinn, Estonia, 17–19 July, pp 105–112
Haala N, Anders KH (1997) Acquisition of 3D urban models by analysis of aerial images, digital surface models and existing 2D building information. Integrating photogrammetric techniques with scene analysis and machine vision III, Orlando, FL, United States, 21–23 April. Proceedings of SPIE—the international society for optical engineering, vol 3072, pp 212–222
Jibrini H, Paparoditis N, Deseilligny MP, Maitre H (2000) Automatic building reconstruction from very high resolution aerial stereopairs using cadastral ground plans. In: 19th ISPRS congress, Amsterdam, The Netherlands, 16–23 July
Vosselman G, Dijkman ST (2001) 3D building model reconstruction from point clouds and ground plans. Int Arch Photogramm Remote Sens Spat Inf Sci 34(Part 3/W4):37–43
Haala N, Brenner C, Anders KH (1998) 3D urban GIS from laser altimeter and 2D map data. Int Arch Photogramm Remote Sens 32(Part 3/1):339–346
Brenner C (2000) Towards fully automatic generation of city models. 19th ISPRS congress, Amsterdam, The Netherlands, 16–23 July. Int Arch Photogramm Remote Sens 33(Part B3/1):85–92
Vosselman G (2002) Fusion of laser scanning data, maps, and aerial photographs for building reconstruction. International geoscience and remote sensing symposium (IGARSS), Toronto, Ont., Canada, 24–28 June, pp 85–88
Suveg I, Vosselman G (2000) 3D reconstruction of building models. 19th ISPRS congress, Amsterdam, The Netherlands, 16–23 July. Int Arch Photogramm Remote Sens 33(Part B2):538–545
Nizar AA, Filin S, Doytsher Y (2006) Reconstruction of buildings from airborne laser scanning data. Prospecting for geospatial information integration, Reno, NV, United States, 1–5 May. Am Soci Photogramm Remote Sens 2:988–997
Akel NA, Zilberstein O, Doytsher Y (2004) A robust method used with orthogonal polynomials and road network for automatic terrain surface extraction from LiDAR data in urban areas. 20th ISPRS congress, Istanbul, Turkey, 12–23 July. Int Arch Photogramm Remote Sens Spat Inf Sci 35(part B3):243–248
Jiang X, Bunke H (1994) Fast segmentation of range images into planar regions by scan line grouping. Mach Vis Appl 7(2):115–122
Hoover A et al (1996) An experimental comparison of range image segmentation algorithms. IEEE Trans Pattern Anal Mach Intell 18(7):673–689
ENVI LiDAR Help (part of the software installation), Exelis visual information solutions. Document version 3.2., c 2012, 2013-06-11
Fischler MA, Bolles RC (1981) Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun ACM 24(6):381–395
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Hron, V., Halounová, L. (2015). Automatic Generation of 3D Building Models from Point Clouds. In: Ivan, I., Benenson, I., Jiang, B., Horák, J., Haworth, J., Inspektor, T. (eds) Geoinformatics for Intelligent Transportation. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-11463-7_8
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DOI: https://doi.org/10.1007/978-3-319-11463-7_8
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