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DC Field | Value | Language |
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dc.contributor.author | Shazmin Aniza, Abdul Shukor | - |
dc.contributor.author | Young, Ken | - |
dc.date.accessioned | 2011-10-03T03:13:14Z | - |
dc.date.available | 2011-10-03T03:13:14Z | - |
dc.date.issued | 2011-02-16 | - |
dc.identifier.citation | p. 24-31 | en_US |
dc.identifier.isbn | 978-0-8898-6865-6 | - |
dc.identifier.uri | http://www.actapress.com/Abstract.aspx?paperId=451651 | - |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/13976 | - |
dc.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. | en_US |
dc.description.abstract | 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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | International Association of Science and Technology for Development (IASTED) | en_US |
dc.relation.ispartofseries | Proceedings of the 12th IASTED International Conference on Computer Graphics and Imaging (CGIM 2011) | en_US |
dc.subject | Computational geometry | en_US |
dc.subject | Geometric modelling | en_US |
dc.subject | Surface reconstruction | en_US |
dc.title | A fast knowledge-based plane reconstruction method from noisy 3D point cloud data | en_US |
dc.type | Working Paper | en_US |
dc.contributor.url | shazmin@unimap.edu.my | en_US |
Appears in Collections: | Conference Papers Shazmin Aniza Abdul Shukor, Assoc. Prof. Dr. |
Files in This Item:
File | Description | Size | Format | |
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fast knowledge.pdf | 7.79 kB | Adobe PDF | View/Open |
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