Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Grammar-based Automatic 3D Model Reconstruction from Terrestrial Laser Scanning Data

    202817_135447_Helmholz_Grammar-based_automatic_3D_model.pdf (1.010Mb)
    Access Status
    Open access
    Authors
    Yu, Qian
    Helmholz, Petra
    Belton, David
    West, Geoff
    Date
    2014
    Type
    Conference Paper
    
    Metadata
    Show full item record
    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.
    Source Title
    The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-4
    Source Conference
    ISPRS Technical Commission IV Symposium
    School
    Department of Spatial Sciences
    Remarks

    This article is published under the Open Access publishing model and distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/ Please refer to the licence to obtain terms for any further reuse or distribution of this work.

    URI
    http://hdl.handle.net/20.500.11937/45168
    Collection
    • Curtin Research Publications
    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.

    Related items

    Showing items related by title, author, creator and subject.

    • Semantically enhanced 3D building model reconstruction from terrestrial laser-scanning data
      Yu, Q.; Helmholz, Petra; Belton, D. (2017)
      In recent years, three-dimensional (3D) models have been used in a large variety of applications, and the steadily growing capacity in both quality and quantity is increasing demand. To apply new applications to already ...
    • Evaluationofmodel recognition for grammar-based automatic 3D building model reconstruction
      Yu, Q.; Helmholz, Petra; Belton, D. (2016)
      In recent years, 3D city models are in high demand by many public and private organisations, and the steadily growing capacity in both quality and quantity are increasing demand. The quality evaluation of these 3D models ...
    • Human animation from analysis and reconstruction of human motion in video sequences
      Zhang, Li (2009)
      This research aims to address one of the most challenging problems in the field of computer vision and computer graphics, that is, the reconstruction of smooth 3D human motions from monocular video containing unrestricted ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.