Researchers at the University of Twente have developed software that allows users to quickly produce 3D models of buildings at very low cost. The 3D models thus created are used for example for navigation, training courses, urban planning and security, maintenance, construction and installation of solar panels. The software can automatically generate 95% of detailed 3D models of buildings, thus reducing production costs and times. The software is based on research conducted by Xiong Biao, who obtained his doctorate at the Faculty of Geo-Information Science and Earth Observation (ITC) on 5 December. The software is already in use for the delivery of 3D maps.
Xiong has developed software that allows users to automatically generate 95% of the models 3D buildings using laser data. The remaining 5% of the modeling is manual work carried out efficiently. The models of the buildings are very detailed and also depict dormers.
Xiong: “The software can be used by a wider audience as municipalities and Cadastral Agencies, but companies can also find interesting situations such as that of a roofer who may base its offer on the 3D model of a roof, for example. Even for companies like Google … this software is very attractive. Google already has 3D maps at his disposal, but it is very expensive and time consuming to generate these maps , are out of date, and constantly updating the entire collection would take too much time. However, with our method, you can automatically update the maps for 95%. It takes only a week to produce a 3D model of the entire city of Enschede with my laptop. It takes, of course, more people and computers to make a 3D model of the entire nation of the Netherlands, which however should be achievable within a month. The production costs are much lower than current methods , since most of the work is done automatically. “Together with four colleagues, Xiong has launched a start-up called Dipper.
To generate 3D models, the software makes use of laser data (LiDAR), which are the measurements acquired from a helicopter or a airplane (like those found in Actueel Hoogtebestand Nederland, AHN2, the updated collection of height data in the Netherlands). This figure is available. The buildings are rebuilt from LiDAR point cloud data. Parts of the roof are also detected using this technique. Then, the basic elements of the buildings are recognized by analyzing the reconstruction of the roofs. The elements are then molded into a whole building. If an error is discovered in the construction of the roof, is automatically corrected due to the ability of software to recognize and storing error models. This ensures the quality of the 3D model. The researcher Sander Oude Elberink reads: … “At the level of detail 2 (LOD2), 3D models are very detailed. It is a level of detail in which they can be molded pattern of roofs, including roof windows. It is a huge improvement over the existing software can generate models to the level of detail 1. In comparison LOD1 is a level of precision with which each building is reconstructed with a single height, which leads to those models having only constructive flat roofs. “
Xiong Biao obtained his doctorate at the University of Twente Faculty ITC on 5 December. His doctoral thesis is entitled:” Reconstructing and correcting 3D building models using roof topology graphs “. His thesis supervisor was prof. dr. Vosselman George and his assistant thesis supervisor dr. Sander Oude Elberink.
The ITC The Faculty of
Geo-Information Science and Earth Observation (ITC) is one of the faculties of the University of Twente. JTI is performed research and provided lessons in science of geo-information and Earth observation, with a focus on applications in countries developing. The students of the ITC come from around the world. The activities of ITC is the international exchange of knowledge, aimed at capacity building and institutional development in developing countries and emerging economies.
Main:
http://www.itc.nl/Pub/News-overview/in2014/in2014-december/UT-software-capable-of-quickly-producing-3D-building-models.html
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3/197/2014/isprsannals-II-3-197-2014.pdf
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