• DocumentCode
    1242617
  • Title

    3D shape reconstruction by using vanishing points

  • Author

    Parodi, Pietro ; Piccioli, Giulia

  • Author_Institution
    Dept. of Phys., Genoa Univ., Italy
  • Volume
    18
  • Issue
    2
  • fYear
    1996
  • fDate
    2/1/1996 12:00:00 AM
  • Firstpage
    211
  • Lastpage
    217
  • Abstract
    This paper investigates the quantitative reconstruction of the 3D structure of a scene from a line drawing, by using the geometrical constraints provided by the location of vanishing points. The additional information on vanishing points allows the design of an algorithm which has several advantages with respect to the usual approach based on a reduction to linear programming (Sugihara, 1982). These advantages range from a lower computational complexity to error tolerance and exact reconstruction of the 3D-geometry of the objects. These features make the algorithm a useful tool for the quantitative analysis of real-world images, which is useful for several tasks from scene understanding to automatic vehicle guidance
  • Keywords
    computational complexity; image reconstruction; linear programming; 3D shape reconstruction; 3D-geometry; automatic vehicle guidance; computational complexity; error tolerance; exact reconstruction; geometrical constraints; line drawing; quantitative reconstruction; real-world images; scene understanding; vanishing points; Algorithm design and analysis; Computational complexity; Image analysis; Image reconstruction; Labeling; Layout; Linear programming; Polynomials; Shape; Vehicles;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.481545
  • Filename
    481545