Evaluations of Three-Dimensional Building Model Reconstruction from LiDAR Point Clouds and Single-View Perspective Imagery
This paper briefly presents two approaches for effective three-dimensional (3D) building model reconstruction from terrestrial laser scanning (TLS) data and single perspective view imagery and assesses their applicability to the reconstruction of 3D models of landmark or historical buildings. The...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2014-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5/597/2014/isprsarchives-XL-5-597-2014.pdf |
| Summary: | This paper briefly presents two approaches for effective three-dimensional (3D) building model reconstruction from terrestrial laser
scanning (TLS) data and single perspective view imagery and assesses their applicability to the reconstruction of 3D models of landmark
or historical buildings. The collected LiDAR point clouds are registered based on conjugate points identified using a seven-parameter
transformation system. Three dimensional models are generated using plan and surface fitting algorithms. The proposed single-view
reconstruction (SVR) method is based on vanishing points and single-view metrology. More detailed models can also be generated
according to semantic analysis of the façade images. Experimental results presented in this paper demonstrate that both TLS and
SVR approaches can successfully produce accurate and detailed 3D building models from LiDAR point clouds or different types of
single-view perspective images. |
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| ISSN: | 1682-1750 2194-9034 |