Sensors 2012, 12(12), 16099-16115; doi:10.3390/s121216099
Article

Automatic Method for Building Indoor Boundary Models from Dense Point Clouds Collected by Laser Scanners

1,2,* email, 2email and 1email
Received: 31 August 2012; in revised form: 30 October 2012 / Accepted: 8 November 2012 / Published: 22 November 2012
(This article belongs to the Special Issue Laser Sensing and Imaging)
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Abstract: In this paper we present a method that automatically yields Boundary Representation Models (B-rep) for indoors after processing dense point clouds collected by laser scanners from key locations through an existing facility. Our objective is particularly focused on providing single models which contain the shape, location and relationship of primitive structural elements of inhabited scenarios such as walls, ceilings and floors. We propose a discretization of the space in order to accurately segment the 3D data and generate complete B-rep models of indoors in which faces, edges and vertices are coherently connected. The approach has been tested in real scenarios with data coming from laser scanners yielding promising results. We have deeply evaluated the results by analyzing how reliably these elements can be detected and how accurately they are modeled.
Keywords: 3D modeling; B-rep models; laser scanners; 3D data processing
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Valero, E.; Adán, A.; Cerrada, C. Automatic Method for Building Indoor Boundary Models from Dense Point Clouds Collected by Laser Scanners. Sensors 2012, 12, 16099-16115.

AMA Style

Valero E, Adán A, Cerrada C. Automatic Method for Building Indoor Boundary Models from Dense Point Clouds Collected by Laser Scanners. Sensors. 2012; 12(12):16099-16115.

Chicago/Turabian Style

Valero, Enrique; Adán, Antonio; Cerrada, Carlos. 2012. "Automatic Method for Building Indoor Boundary Models from Dense Point Clouds Collected by Laser Scanners." Sensors 12, no. 12: 16099-16115.


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