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About project

The task is co-financed by the European Union under the European Social Fund.

Integrated Management Services Ltd. takes part in the project "Przedsiębiorczy doktorant" in cooperation with Mrs. M.Sc. Małgorzata Jarząbek-Rychard, a Ph.D. student at the Institute of Geodesy and Geoinformatics in the University of Environmental and Life Sciences. The aim of the scholarship programme is to provide financial support for Ph.D. students pursuing research that may contribute to the development of Lower Silesia, and to stimulate innovation in the region by increasing the links between science and industry.

3D building modeling

Studies on 3D building modeling were initiated over 20 years ago using stereo-images. However, this encountered problems due to an attempt of reconstruction 3D features from 2D sources. Laser scanning technology has revolutionized the modeling approach, providing 3D data. Moreover, it has allowed a rapid acquisition of large amounts of information, and thus processing of large areas. At the beginning of laser scanning utilization the created models had very simplified construction, resulting from low resolution and accuracy. Currently, laser scanning sensors enable acquisition of data with high accuracy, allowing the creation of models with a very high level of detail including small architectural elements.

Intensive development of scanning technology is accompanied by an increasing awareness of 3D city models possible use. The application scope covers specialized activities (such as urban planning and public safety) as well as private, that may apply to each user (in a virtual tourism or navigation). Therefore, there is a need for systems that allow efficient and accurate buildings reconstruction. Because the manual processing of data is associated with a very large amount of work and time, the fully automatic building modeling is still a hot topic of research in the scientific literature.

The cooperation  goal is to create a software for the automatic reconstruction of building contours with the possibility of generation 3D building models on the LoD1 (Level of Detail). This project is a part of a doctoral dissertation  "3D building modeling based on  laser scanning data", that aims in the development and optimization of the algorithms for automatic building reconstruction at a high level of detail (LoD3). The basic data used for the modeling process include sets of 3D points acquired by laser scanning technology, both airborne and terrestrial. This data can be supplemented with additional cadastral information or digital photogrammetric images. The research problem is to transform an unstructured set of  points into a 3D model with a hierarchical structure and topology information.

 

Publications:

  • Jarząbek-Rychard M.,: „Reconstruction of building outlines in dense urban areas based on LiDAR data and address points.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012  (in print)\
  • Jarząbek-Rychard M., Borkowski A.: „Building outlines reconstruction from ALS data set with a'priori information.”  Archives of Photogrammetry, Cartography and Remote Sensing, Vol. 22, 2011, pp. 227-236
  • Jarząbek-Rychard M., Borkowski A.: „Porównanie Algorytmów RANSAC oraz rosnących płaszczyzn w procesie segmentacji danych skaningu laserowego.” Archiwum Kartografii, Fotogrametrii i Teledetekcji, vol.21, Warszawa 2010, s. 119-130
  • Jarząbek-Rychard M.: „Implementation of 3D point clouds segmentation based on plane growing method.” 12th Professional Conference of Postgraduate Students "JUNIORSTAV”, Brno 2010

 

Modeling steps

The process of 3D building modeling includes the following steps:

Data acquisition
The models are created based on laser scanning data, which can be supplemented with additional information in order to optimize the algorithm and improve the reconstruction quality.

Filtering
Points belonging to the ground are filtered out from the data set. As a result we get a point cloud that presents buildings and high vegetation.

Building detection
This process includes the detection of buildings in the dataset and the extraction of subsets of points that belong to individual objects.

Contour reconstruction
This stage is divided into three parts. In starts from the detection of points that make up the outline. The identified points serve as an input for the algorithm that enables to detect straight lines. Finally, geometry regularization is executed - the contours are adjusted based on the geometrical conditions, such as perpendicularity and parallelism of the walls.

Modeling of 3D geometry
The reconstructed model is presented using the CSG (Constructive Solid Geometry) technique. The presented models are reconstructed on LoD1 (cubic units).

 

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