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