Knowledge based reconstruction of building models from terrestrial laser scanning data |
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| Authors: | Shi Pu George Vosselman |
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| Institution: | 1. Key Laboratory of Virtual Geographical Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China;2. Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing 210023, China;1. State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;2. Chang Guang Satellite Technology Co., Ltd, China;1. Technische Hochschule Georg-Simon-Ohm, Kessplerplatz 12, 90489 Nürnberg, Germany;2. Informatics VII –Robotics and Telematics, Julius-Maximilians University, Am Hubland, 97074 Würzburg, Germany |
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| Abstract: | This paper presents an automatic method for reconstruction of building façade models from terrestrial laser scanning data. Important façade elements such as walls and roofs are distinguished as features. Knowledge about the features’ sizes, positions, orientations, and topology is then introduced to recognize these features in a segmented laser point cloud. An outline polygon of each feature is generated by least squares fitting, convex hull fitting or concave polygon fitting, according to the size of the feature. Knowledge is used again to hypothesise the occluded parts from the directly extracted feature polygons. Finally, a polyhedron building model is combined from extracted feature polygons and hypothesised parts. The reconstruction method is tested with two data sets containing various building shapes. |
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