The automatic reconstruction of the walls of an interior environment is a fundamental task in any "scan2BIM" application. In this work, we address this problem resorting to an original and improved version of J-Linkage that leverages on the min-Hash technique to boost the efficiency without sacrificing the accuracy. A framework to automatically and robustly extract floor plans from large-scale point clouds is described and validated on real-word publicly available data.

Reconstruction of Interior Walls from Point Cloud Data with Min-Hashed J-Linkage

Magri, Luca;
2018-01-01

Abstract

The automatic reconstruction of the walls of an interior environment is a fundamental task in any "scan2BIM" application. In this work, we address this problem resorting to an original and improved version of J-Linkage that leverages on the min-Hash technique to boost the efficiency without sacrificing the accuracy. A framework to automatically and robustly extract floor plans from large-scale point clouds is described and validated on real-word publicly available data.
2018
2018 International Conference on 3D Vision (3DV)
978-1-5386-8425-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1188421
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