• DocumentCode
    2437976
  • Title

    Recovering quasi-real occlusion-free textures for facade models by exploiting fusion of image and laser street data and image inpainting

  • Author

    Hammoudi, Karim ; Dornaika, Fadi ; Soheilian, Bahman ; Vallet, Bruno ; McDonald, John ; Paparoditis, Nicolas

  • Author_Institution
    Dept. of Comput. Sci., Nat. Univ. of Ireland Maynooth, Maynooth, Ireland
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper we present relevant results for the texturing of 3D urban facade models by exploiting the fusion of terrestrial multi-source data acquired by a Mobile Mapping System (MMS) and image inpainting. Current 3D urban facade models are often textured by using images that contain parts of urban objects that belong to the street. These urban objects represent in this case occlusions since they are located between the acquisition system and the facades. We show the potential use of georeferenced images and 3D point clouds that are acquired at street level by the MMS in generating occlusion-free facade textures. We describe a methodology for reconstructing quasi-real textures of facades that are highly occluded by wide frontal objects.
  • Keywords
    image fusion; image reconstruction; image texture; 3D point clouds; 3D urban facade models; MMS; acquisition system; case occlusions; georeferenced images; image fusion exploitation; image inpainting; image reconstruction; image texture; laser street data; mobile mapping system; quasi-real occlusion-free textures; street level; terrestrial multisource data; urban objects; wide frontal objects; Computational modeling; Educational institutions; Image color analysis; Image reconstruction; Kernel; Mobile communication; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis for Multimedia Interactive Services (WIAMIS), 2012 13th International Workshop on
  • Conference_Location
    Dublin
  • ISSN
    2158-5873
  • Print_ISBN
    978-1-4673-0791-8
  • Electronic_ISBN
    2158-5873
  • Type

    conf

  • DOI
    10.1109/WIAMIS.2012.6226763
  • Filename
    6226763