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
Link To Document :
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