• DocumentCode
    2206388
  • Title

    Free-form surface reconstruction from multiple images

  • Author

    Shu, Chang ; Roth, Gerhard

  • Author_Institution
    Inst. for Inf. Technol., Nat. Res. Council of Canada, Ottawa, Ont., Canada
  • fYear
    2003
  • fDate
    6-10 Oct. 2003
  • Firstpage
    163
  • Lastpage
    174
  • Abstract
    It is widely appreciated that 3D structures may be computed from multiple 2D images of the same scene given point correspondences between images. Of greater interest, however, is the generation of surfaces that give a compact representation of the geometric model. Assuming we are dealing with smooth surfaces, we show that B-spline is a good choice for this purpose and we describe how to construct it by approximating the 3D data points. The crucial step is the parameterization of the 3D points in a 2D domain. By studying the geometric constraints of multiple views, we show that the original images can be used for parameterization. The implications of the B-spline surfaces for improving the quality of texture mapping is discussed.
  • Keywords
    computational geometry; image matching; image reconstruction; solid modelling; splines (mathematics); surface fitting; 3D point parameterization; B-spline surface fitting; free-form surface reconstruction; geometric constraints; geometric model representation; multiple 2D images; point correspondence; texture mapping; Application software; Buildings; Cameras; Image reconstruction; Piecewise linear approximation; Spline; Surface fitting; Surface reconstruction; Surface texture; Surface treatment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3-D Digital Imaging and Modeling, 2003. 3DIM 2003. Proceedings. Fourth International Conference on
  • Print_ISBN
    0-7695-1991-1
  • Type

    conf

  • DOI
    10.1109/IM.2003.1240246
  • Filename
    1240246