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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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Bibliographic Details
Main Authors: Shazmin Aniza, Abdul Shukor, Young, Ken
Other Authors: shazmin@unimap.edu.my
Format: Working Paper
Language:English
Published: International Association of Science and Technology for Development (IASTED) 2011
Subjects:
Computational geometry
Geometric modelling
Surface reconstruction
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/13976
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spelling 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)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Computational geometry
Geometric modelling
Surface reconstruction
spellingShingle 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
description 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
author_facet 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
_version_ 1643790872326701056
score 13.214268

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