Robust Reconstruction of Interior Building Structures with Multiple Rooms under Clutter and Occlusions
Claudio Mura,
Oliver Mattausch,
Alberto Jaspe Villanueva,
Enrico Gobbetti,
Renato Pajarola
Proc. 13th International Conference on Computer-Aided Design and Computer Graphics - november 2013
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We present a robust approach for reconstructing the architectural structure of complex indoor environments given a set of cluttered input scans. Our method first uses an efficient occlusion-aware process to extract planar patches as potential wall segments, separating them from clutter and coping with missing data. Using a diffusion process to further increase its robustness, our algorithm is able to reconstruct a clean architectural model from those potential wall segments. To our knowledge, this is the first indoor reconstruction method which goes beyond a binary classification and auto- matically recognizes different rooms as separate components. We demonstrate the validity of our approach by testing it on both synthetic models and real-world 3d scans of indoor environments.
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BibTex references
@InProceedings{MMJGP13,
author = {Mura, C. and Mattausch, O. and Jaspe Villanueva, A. and Gobbetti, E. and Pajarola, R.},
title = {Robust Reconstruction of Interior Building Structures with Multiple Rooms under Clutter and Occlusions},
booktitle = {Proc. 13th International Conference on Computer-Aided Design and Computer Graphics},
month = {november},
year = {2013},
keywords = {geometric reconstruction},
url = {https://publications.crs4.it/pubdocs/2013/MMJGP13},
}
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