This paper is focused on the automatic construction of 3D basic-semantic
models of inhabited interiors using laser scanners with the help of RFID technologies. This
is an innovative approach, in whose field scarce publications exist. The general strategy
consists of carrying out a selective and sequential segmentation from the cloud of points by
means of different algorithms which depend on the information that the RFID tags provide.
The identification of basic elements of the scene, such as walls, floor, ceiling, windows,
doors, tables, chairs and cabinets, and the positioning of their corresponding models can
then be calculated. The fusion of both technologies thus allows a simplified 3D semantic
indoor model to be obtained. This method has been tested in real scenes under difficult
clutter and occlusion conditions, and has yielded promising results.
This paper is focused on the automatic construction of 3D basic-semanticmodels of inhabited interiors using laser scanners with the help of RFID technologies. Thisis an innovative approach, in whose field scarce publications exist. The general strategyconsists of carrying out a selective and sequential segmentation from the cloud of points bymeans of different algorithms which depend on the information that the RFID tags provide.The identification of basic elements of the scene, such as walls, floor, ceiling, windows,doors, tables, chairs and cabinets, and the positioning of their corresponding models canthen be calculated. The fusion of both technologies thus allows a simplified 3D semanticindoor model to be obtained. This method has been tested in real scenes under difficultclutter and occlusion conditions, and has yielded promising results.
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