• DocumentCode
    2720606
  • Title

    Automatic alignment of 3D reconstructions using a Digital Surface Model

  • Author

    Wendel, Andreas ; Irschara, Arnold ; Bischof, Horst

  • Author_Institution
    Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz, Austria
  • fYear
    2011
  • fDate
    20-25 June 2011
  • Firstpage
    29
  • Lastpage
    36
  • Abstract
    We present a novel technique for the automatic alignment of Structure from Motion (SfM) models, acquired at ground level or by micro aerial vehicles, to an overhead Digital Surface Model (DSM) using GPS information. An additional refinement step based on the correlation of the DSM height map with the model height map corrects for the GPS localization uncertainties and results in precisely aligned models. Our approach successfully handles cases where previous methods had problems, including objects on the ground, unoccupied space, and models covering a small area. We conclude our work by presenting several applications of our approach, namely the fusion of detailed SfM model information into the original DSM, season-invariant matching using aligned models, and alignment for providing context in visualization.
  • Keywords
    Global Positioning System; correlation methods; image motion analysis; image reconstruction; solid modelling; terrain mapping; GPS localization uncertainties; automatic 3D reconstruction alignment; digital surface model; microaerial vehicles; season-invariant matching; structure from motion models; Computational modeling; Context modeling; Global Positioning System; Image reconstruction; Solid modeling; Three dimensional displays; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on
  • Conference_Location
    Colorado Springs, CO
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4577-0529-8
  • Type

    conf

  • DOI
    10.1109/CVPRW.2011.5981717
  • Filename
    5981717