• DocumentCode
    3600283
  • Title

    Furnished Interiors Modeling with Laser Scanners and RFID

  • Author

    Adan, Antonio ; Valero, Enrique

  • Author_Institution
    Castilla-La Mancha Univ., Ciudad Real, Spain
  • Volume
    2
  • fYear
    2014
  • Firstpage
    95
  • Lastpage
    102
  • Abstract
    It is known that laser scanners can provide accurate, dense and raw 3D data of large scenarios but, in order to obtain a representative 3D model of the scene, such information needs to be hardly processed. This research field, named automatic construction of building models, is a challenging topic which is has been progressing over the last five years. This paper presents an overview that covers all of our research in this field. Our method follows a sequential 3D data processing strategy composed by multiple algorithms which aim to obtain a 3D basic model on furnished interiors. The approach computes a Boundary Representation Model (B-Rep) of the scene and, with the help of Radio Frequency Identification (RFID) technologies, is able to recognize and precisely place pieces of furniture into the B-Rep model, thus generating a simplified accurate semantic 3D model of the inhabited interior. Extended experimentation of the method has been carried out in real scenarios with laser scanner data yielding encouraging results.
  • Keywords
    architectural CAD; buildings (structures); computer graphics; furniture; image representation; optical scanners; radiofrequency identification; 3D basic model; 3D data processing strategy; B-Rep model; RFID technologies; automatic construction; boundary representation model; building models; furnished interiors modeling; furniture; inhabited interior; laser scanners; radio frequency identification; semantic 3D model; Data models; Floors; Image segmentation; Radiofrequency identification; Solid modeling; Three-dimensional displays; 3D data processing; 3D laser scanner; B-Rep model; Building Information Modeling; RFID;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3D Vision (3DV), 2014 2nd International Conference on
  • Type

    conf

  • DOI
    10.1109/3DV.2014.50
  • Filename
    7182721