A Stochastic approach to automated reconstruction of 3D models of interior spaces from point clouds
Kourosh Khoshelham, Ha Thi Thu Tran
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences | ISPRS | Published : 2019
Automated reconstruction of 3D interior models has recently been a topic of intensive research due to its wide range of applications in Architecture, Engineering, and Construction. However, generation of the 3D models from LiDAR data and/or RGB-D data is challenged by not only the complexity of building geometries, but also the presence of clutters and the inevitable defects of the input data. In this paper, we propose a stochastic approach for automatic reconstruction of 3D models of interior spaces from point clouds, which is applicable to both Manhattan and non-Manhattan world buildings. The building interior is first partitioned into a set of 3D shapes as an arrangement of permanent stru..View full abstract
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Awarded by Australian Research Council
The first author acknowledges the financial support from the University of Melbourne through Melbourne International Fee Remission and a Melbourne International Research Scholarship. The support by the Australian Research Council grant DP170100109 is also acknowledged. The datasets used in the experiments were collected as part of the ISPRS Benchmark on Indoor Modelling.