Indoor Scene Reconstruction using Primitive-driven Space Partitioning and Graph-cut - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

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

Florent Lafarge
  • Fonction : Auteur
  • PersonId : 833647
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.
Fichier principal
Vignette du fichier
paper.pdf (1.3 Mo) Télécharger le fichier
Vignette du fichier
pubImage.png (303.3 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Format Figure, Image
Loading...

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⟩

Collections

INRIA INRIA2
619 Consultations
3257 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More