Grammar-based Automatic 3D Model Reconstruction from Terrestrial Laser Scanning Data
dc.contributor.author | Yu, Qian | |
dc.contributor.author | Helmholz, Petra | |
dc.contributor.author | Belton, David | |
dc.contributor.author | West, Geoff | |
dc.contributor.editor | J. Jiang | |
dc.contributor.editor | H. Zhang | |
dc.date.accessioned | 2017-01-30T15:19:05Z | |
dc.date.available | 2017-01-30T15:19:05Z | |
dc.date.created | 2014-10-26T20:00:25Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Yu, Q. and Helmholz, P. and Belton, D. and West, G. 2014. Grammar-based Automatic 3D Model Reconstruction from Terrestrial Laser Scanning Data, in J. Jiang and H. Zhang (ed), ISPRS Technical Commission IV Symposium, May 14-16 2014, pp. 335-340. Suzhou, China: International Society for Photogrammetry and Remote Sensing. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/45168 | |
dc.description.abstract |
The automatic reconstruction of 3D buildings has been an important research topic during the last years. In this paper, a novel method is proposed to automatically reconstruct the 3D building models from segmented data based on pre-defined formal grammar and rules. Such segmented data can be extracted e.g. from terrestrial or mobile laser scanning devices. Two steps are considered in detail. The first step is to transform the segmented data into 3D shapes, for instance using the DXF (Drawing Exchange Format) format which is a CAD data file format used for data interchange between AutoCAD and other program. Second, we develop a formal grammar to describe the building model structure and integrate the pre-defined grammars into the reconstruction process. Depending on the different segmented data, the selected grammar and rules are applied to drive the reconstruction process in an automatic manner. Compared with other existing approaches, our proposed method allows the model reconstruction directly from 3D shapes and takes the whole building into account. | |
dc.publisher | Inernational Society for Photogrammetry and Remote Sensing | |
dc.subject | building | |
dc.subject | Model | |
dc.subject | 3D | |
dc.subject | reconstruction | |
dc.subject | grammar | |
dc.title | Grammar-based Automatic 3D Model Reconstruction from Terrestrial Laser Scanning Data | |
dc.type | Conference Paper | |
dcterms.source.startPage | 335 | |
dcterms.source.endPage | 340 | |
dcterms.source.title | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-4 | |
dcterms.source.series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-4 | |
dcterms.source.conference | ISPRS Technical Commission IV Symposium | |
dcterms.source.conference-start-date | May 14 2014 | |
dcterms.source.conferencelocation | Suzhou, China | |
dcterms.source.place | Canada | |
curtin.note |
This article is published under the Open Access publishing model and distributed under the terms of the Creative Commons Attribution License | |
curtin.department | Department of Spatial Sciences | |
curtin.accessStatus | Open access |