Indoor Scene Reconstruction using Primitive-driven Space Partitioning and Graph-cut

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Date
2013
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present a method for automatic reconstruction of permanent structures of indoor scenes, such as walls, floors and ceilings, from raw point clouds acquired by laser scanners. Our approach employs graph-cut to solve an inside/outside labeling of a space decomposition. To allow for an accurate reconstruction the space decomposition is aligned with permanent structures. A Hough Transform is applied for extracting the wall directions while allowing a flexible reconstruction of scenes. The graph-cut formulation takes into account data consistency through an inside/outside prediction for the cells of the space decomposition by stochastic ray casting, while favoring low geometric complexity of the model. Our experiments produces watertight reconstructed models of multi-level buildings and complex scenes.
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@inproceedings{
:10.2312/UDMV/UDMV13/009-012
, booktitle = {
Eurographics Workshop on Urban Data Modelling and Visualisation
}, editor = {
Vincent Tourre and Gonzalo Besuievsky
}, title = {{
Indoor Scene Reconstruction using Primitive-driven Space Partitioning and Graph-cut
}}, author = {
Oesau, Sven
and
Lafarge, Florent
and
Alliez, Pierre
}, year = {
2013
}, publisher = {
The Eurographics Association
}, ISSN = {
2307-8251
}, ISBN = {
978-3-905674-46-0
}, DOI = {
/10.2312/UDMV/UDMV13/009-012
} }
Citation