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

Sven Oesau 1, * Florent Lafarge 1 Pierre Alliez 1
* Auteur correspondant
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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Communication dans un congrès
Eurographics Workshop on Urban Data Modelling and Visualisation, May 2013, Girona, Spain. 2013
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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. 2013. 〈hal-00814546v2〉

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