CRS4

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
Télécharger la publication : cadcg2013-robust_indoor_reconstruction.pdf [1.2Mo]  
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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Références BibTex

@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},
}

Autres publications dans la base

» Claudio Mura
» Oliver Mattausch
» Alberto Jaspe Villanueva
» Enrico Gobbetti
» Renato Pajarola