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Within the construction sector, Building Information Models (BIMs) are more and more used thanks to the several benefits that they\udoffer in the design of new buildings and the management of the existing ones. Frequently, however, BIMs are not available for already\udbuilt constructions, but, at the same time, the range camera technology provides nowadays a cheap, intuitive and effective tool for\udautomatically collecting the 3D geometry of indoor environments. It is thus essential to find new strategies, able to perform the first\udstep of the scan to BIM process, by extracting the geometrical information contained in the 3D models that are so easily collected\udthrough the range cameras.  \udIn this work, a new algorithm to extract planimetries from the 3D models of rooms acquired by means of a range camera is therefore\udpresented. The algorithm was tested on two rooms, characterized by different shapes and dimensions, whose 3D models were captured\udwith the Occipital Structure Sensor<sup>TM</sup>. The preliminary results are promising: the developed algorithm is able to model effectively\udthe 2D shape of the investigated rooms, with an accuracy level comprised in the range of 5 - 10 cm. It can be potentially used by\udnon-expert users in the first step of the BIM generation, when the building geometry is reconstructed, for collecting crowdsourced\udindoor information in the frame of BIMs Volunteered Geographic Information (VGI) generation

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

A TOOL FOR CROWDSOURCED BUILDING INFORMATION MODELING THROUGH LOW-COST RANGE CAMERA: PRELIMINARY DEMONSTRATION AND POTENTIAL