• DocumentCode
    3209320
  • Title

    Reconstructing open surfaces from unorganized data points

  • Author

    Solem, Jan Erik ; Heyden, Anders

  • Author_Institution
    Sch. of Technol. & Soc., Malmo Univ., Sweden
  • Volume
    2
  • fYear
    2004
  • fDate
    27 June-2 July 2004
  • Abstract
    In this paper a method for fitting open surfaces to an unorganized set of data points is presented using a level set representation of the surface. This is done by tracking a curve, representing the boundary, on the implicitly defined surface. This curve is given as the intersection of the level set describing the surface and an auxiliary level set. These two level sets are propagated using the same motion vector field. Special care has to be taken in order for the surfaces not to intersect at other places than at the desired boundary. Methods for accomplishing this are presented and a novel fast scheme for finding good initial values is proposed. This novel method gives a piecewise linear approximation of the initial surface boundary using a partition of the convex hull. With the described method open surfaces can be fitted to point clouds obtained using structure from motion techniques. This paper solves an important practical problem since in many cases the surfaces in the scene are open or can only be viewed from certain directions. Successful experiments on several data sets support the method.
  • Keywords
    boundary-value problems; image motion analysis; image reconstruction; image representation; piecewise linear techniques; convex hull; level set representation; motion structure; motion vector field; open surface reconstruction; piecewise linear approximation; surface boundary; unorganized data points; Cameras; Clouds; Computer vision; Image reconstruction; Layout; Level set; Surface fitting; Surface reconstruction; Surface treatment; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2158-4
  • Type

    conf

  • DOI
    10.1109/CVPR.2004.1315226
  • Filename
    1315226