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Communication Dans Un Congrès Année : 2013

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

Florent Lafarge
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Pierre Alliez

Résumé

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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Dates et versions

hal-00814546 , version 1 (17-04-2013)
hal-00814546 , version 2 (07-06-2013)

Identifiants

  • HAL Id : hal-00814546 , version 2

Citer

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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