BIM for existing facilities: feasibility of spectral image integration to 3D point cloud data

Kinjiro Amano, Eric Lou

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    Accurate geometrical and spatial information of the built environment can be accurately acquired and the resulting 3D point cloud data is required to be processed to construct the digital model, Building Information Modelling (BIM) for existing facilities. Point cloud by laser scanning over the buildings and facilities has been commonly used, but the data requires external information so that any objects and materials can be correctly identified and classified. A number of advanced data processing methods have been developed, such as the use of colour information to attach semantic information. However, the accuracy of colour information depends largely on the scene environment where the image is acquired. The limited number of spectral channels on conventional RGB camera often fails to extract important information about surface material, despite spectral surface reflectance can represent a signature of the material. Hyperspectral imaging can, instead, provide precise representation of spatial and spectral information. By implementing such information to 3D point cloud, the efficiency of material detection and classification in BIM should be significantly improved. In this work, the feasibility of the image integration and discuss practical difficulties in the development.
    Original languageEnglish
    Title of host publication4th International Building Control Conference 2016
    Number of pages6
    Publication statusPublished - Mar 2016
    Event4th International Building Control Conference 2016 - Kuala Lumpur, Malaysia
    Duration: 7 Mar 20168 Mar 2016


    Conference4th International Building Control Conference 2016
    Abbreviated titleIBCC 2016


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    • Research Excellence Award (Best Paper)

      Lou, Eric (Recipient), 7 Mar 2016

      Prize: Prize (including medals and awards)

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