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

Sven Oesau 1, * Florent Lafarge 1 Pierre Alliez 1 
* Corresponding author
1 TITANE - Geometric Modeling of 3D Environments
CRISAM - Inria Sophia Antipolis - Méditerranée
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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Submitted on : Friday, June 7, 2013 - 1:47:11 PM
Last modification on : Saturday, June 25, 2022 - 11:10:32 PM
Long-term archiving on: : Sunday, September 8, 2013 - 4:19:17 AM


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  • HAL Id : hal-00814546, version 2



Sven Oesau, Florent Lafarge, Pierre Alliez. Indoor Scene Reconstruction using Primitive-driven Space Partitioning and Graph-cut. Eurographics Workshop on Urban Data Modelling and Visualisation, May 2013, Girona, Spain. ⟨hal-00814546v2⟩



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