• DocumentCode
    3178689
  • Title

    An algebraic approach to line-drawing analysis in the presence of uncertainty

  • Author

    Ponce, Jean ; Shimshoni, Ilan

  • Author_Institution
    Illinois Univ., Urbana, IL, USA
  • fYear
    1992
  • fDate
    12-14 May 1992
  • Firstpage
    1786
  • Abstract
    Following the work of K. Sugihara (1984), the authors represent the geometric constraints imposed by the line-drawing of a polyhedron as a set of linear equalities and inequalities. They, however, explicitly take into account the uncertainty in the vertex position. This allows the circumvention of the superstrictness of the constraints without deleting any constraints. For a given error bound, the condition whether a line-drawing is the correct projection of a polyhedron is reduced to linear programing, and the 3D shape recovery is reduced to optimization under linear constraints. The approach has been implemented, and examples are presented
  • Keywords
    algebra; computational geometry; image recognition; linear programming; uncertainty handling; 3D shape recovery; constraints; geometric constraints; image recognition; inequalities; line-drawing analysis; linear equalities; linear programing; optimization; polyhedron; superstrictness; uncertainty; Computer science; Constraint optimization; Equations; Error correction; Inspection; Layout; Linear programming; Shape; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1992. Proceedings., 1992 IEEE International Conference on
  • Conference_Location
    Nice
  • Print_ISBN
    0-8186-2720-4
  • Type

    conf

  • DOI
    10.1109/ROBOT.1992.220121
  • Filename
    220121