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    Evaluationofmodel recognition for grammar-based automatic 3D building model reconstruction

    Access Status
    Open access via publisher
    Authors
    Yu, Q.
    Helmholz, Petra
    Belton, D.
    Date
    2016
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Yu, Q. and Helmholz, P. and Belton, D. 2016. Evaluationofmodel recognition for grammar-based automatic 3D building model reconstruction, in Proceedings of 23rd Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS), Commission IV (Volume XLI-B4), Jul 12-19 2016, pp. 63-69. Prague, Czech Republic: ISPRS.
    Source Title
    International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
    DOI
    10.5194/isprsarchives-XLI-B4-63-2016
    ISSN
    1682-1750
    School
    Department of Spatial Sciences
    URI
    http://hdl.handle.net/20.500.11937/28905
    Collection
    • Curtin Research Publications
    Abstract

    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 is a relevant issue both from the scientific and practical points of view. In this paper, we present a method for the quality evaluation of 3D building models which are reconstructed automatically from terrestrial laser scanning (TLS) data based on an attributed building grammar. The entire evaluation process has been performed in all the three dimensions in terms of completeness and correctness of the reconstruction. Six quality measures are introduced to apply on four datasets of reconstructed building models in order to describe the quality of the automatic reconstruction, and also are assessed on their validity from the evaluation point of view.

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