Robust Reconstruction of Interior Building Structures with Multiple Rooms under Clutter and Occlusions
Caricamento...
Data
2013
Autori
Mura, Claudio
Mattausch, Oliver
Jaspe, Alberto Villanueva
Gobbetti, Enrico
Pajarola, Renato
Titolo del periodico
ISSN
Titolo del volume
Editore
IEEE
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
candidate walls, 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 the candidate walls. To our knowledge, this
is the first indoor reconstruction method which goes beyond
a binary classification and automatically 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.
Descrizione
Keywords
3D reconstruction , indoor scene reconstruction , LIDAR reconstruction , point cloud processing