Robust Reconstruction of Interior Building Structures with Multiple Rooms under Clutter and Occlusions

Claudio Mura, Oliver Mattausch, Alberto Jaspe-Villanueva, Enrico Gobbetti, and Renato Pajarola

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Paper PDF DOI

@InProceedings{Mura:2013:RRI, author = {Claudio Mura and Oliver Mattausch and Alberto Jaspe-Villanueva and Enrico Gobbetti and Renato Pajarola}, 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}, pages = {52--59}, publisher = {IEEE}, month = {November}, year = {2013}, url = {http://vic.crs4.it/vic/cgi-bin/bib-page.cgi?id='Mura:2013:RRI'}, }

Abstract

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.