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Title: 3D modeling of indoor surfaces with occlusion and clutter
Authors: S. A., Abdul Shukor
K. W., Young
Rushforth, E. J.
???metadata.dc.contributor.url???: s.a.abdul-shukor@warwick.ac.uk
Keywords: 3D modeling;Computational geometry;Interior modeling;Surface reconstruction
Issue Date: 13-Apr-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p. 282-287
Series/Report no.: Proceedings of the IEEE International Conference on Mechatronics (ICM 2011)
Abstract: This document highlights on a knowledge-based method to reconstruct planar surfaces of a real indoor environment with occlusion and clutter, which produce a reliable 3D modeling rapidly. The input is 3D point cloud data obtained from a laser scanner, which is known for its accuracy and speed in producing 3D data. The laser is attached on a mobile platform with a servo motor to give a complete 180 coverage, both vertically and horizontally. It takes about 1.7 seconds for the algorithm, which is based on a computational geometry approach, to process and produce the 3D modeling of all existing surfaces on a normal working computer. The method has been tested in different cluttered environments and has shown promising results. This method can be applied towards developing an as-built building Information modeling (BIM) in architectural as well as semantic mapping for a mobile robot Other applications in facility management, building conservation, virtual tours and city infrastructure management could also benefit from this approach.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org/
URI: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5971296
ISBN: 978-1-6128-4983-6
Appears in Collections:Conference Papers

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