A fast knowledge-based plane reconstruction method from noisy 3D point cloud data
12th IASTED International Conference on Computer Graphics and Imaging (CGIM 2011) organized by International Association of Science and Technology for Development (IASTED), 16th - 18th February 2011 at Innsbruck, Austria.
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International Association of Science and Technology for Development (IASTED)
2011
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my.unimap-139762011-10-03T03:13:14Z A fast knowledge-based plane reconstruction method from noisy 3D point cloud data Shazmin Aniza, Abdul Shukor Young, Ken shazmin@unimap.edu.my Computational geometry Geometric modelling Surface reconstruction 12th IASTED International Conference on Computer Graphics and Imaging (CGIM 2011) organized by International Association of Science and Technology for Development (IASTED), 16th - 18th February 2011 at Innsbruck, Austria. This paper presents a knowledge-based method of planar surface reconstruction from noisy 3D point cloud data which produces a fast and reliable modelling of an indoor environment. The data used is obtained from a laser scanner, which is known for its rapidness and accuracy in 3D reconstruction. The laser is attached together with a servo motor at a 45cm height mobile platform to give a complete 180° from top to bottom, and 180° from left to right, which allows the reconstruction process to be made on just a single scan. It takes about 1.3 seconds for the algorithm to process and produce the 3D modelling of all existing surfaces on a normal working computer. Our method has been tested in both uncluttered and real office environment. It can be applied towards developing an as-built building information models (BIM) in architectural and semantic mapping for robotics applications. 2011-10-03T03:13:14Z 2011-10-03T03:13:14Z 2011-02-16 Working Paper p. 24-31 978-0-8898-6865-6 http://www.actapress.com/Abstract.aspx?paperId=451651 http://hdl.handle.net/123456789/13976 en Proceedings of the 12th IASTED International Conference on Computer Graphics and Imaging (CGIM 2011) International Association of Science and Technology for Development (IASTED) |
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Computational geometry Geometric modelling Surface reconstruction |
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Computational geometry Geometric modelling Surface reconstruction Shazmin Aniza, Abdul Shukor Young, Ken A fast knowledge-based plane reconstruction method from noisy 3D point cloud data |
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12th IASTED International Conference on Computer Graphics and Imaging (CGIM 2011) organized by International Association of Science and Technology for Development (IASTED), 16th - 18th February 2011 at Innsbruck, Austria. |
author2 |
shazmin@unimap.edu.my |
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shazmin@unimap.edu.my Shazmin Aniza, Abdul Shukor Young, Ken |
format |
Working Paper |
author |
Shazmin Aniza, Abdul Shukor Young, Ken |
author_sort |
Shazmin Aniza, Abdul Shukor |
title |
A fast knowledge-based plane reconstruction method from noisy 3D point cloud data |
title_short |
A fast knowledge-based plane reconstruction method from noisy 3D point cloud data |
title_full |
A fast knowledge-based plane reconstruction method from noisy 3D point cloud data |
title_fullStr |
A fast knowledge-based plane reconstruction method from noisy 3D point cloud data |
title_full_unstemmed |
A fast knowledge-based plane reconstruction method from noisy 3D point cloud data |
title_sort |
fast knowledge-based plane reconstruction method from noisy 3d point cloud data |
publisher |
International Association of Science and Technology for Development (IASTED) |
publishDate |
2011 |
url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/13976 |
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1643790872326701056 |