Abstract
Automatic 3D building reconstruction is becoming increasingly important for a number of applications. This paper aims to present a new approach for an automatic pipeline to reconstruct surface patches from a video image sequence, which can deal with images acquired with an uncalibrated hand held camera. In order to skip the details to get the surface patches that present the building’s main structure, the algorithm applies rules and a processing sequence that aim to reasonably group extracted sparse 3D points and 3D edges. Then the surface patches are estimated from these grouped points and edges. The final step is to define the surface patches’ outline, which aim to both present the location and the actual shape of the surface patches. The results for two datasets show that the main surface patches for each dataset are successfully reconstructed.
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Tian, Y., Gerke, M., Vosselman, G., Zhu, Q. (2009). Automatic Surface Patch Generation from a Video Image Sequence. In: Lee, J., Zlatanova, S. (eds) 3D Geo-Information Sciences. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87395-2_14
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DOI: https://doi.org/10.1007/978-3-540-87395-2_14
Publisher Name: Springer, Berlin, Heidelberg
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