• DocumentCode
    1122798
  • Title

    The Recovery of Three-Dimensional Structure from Image Curves

  • Author

    Lowe, David G. ; Binford, Thomas O.

  • Author_Institution
    Stanford Artificial Intelligence Laboratory, Stanford University, Stanford, CA 94305; Courant Institute of Mathematical Sciences, New York University, New York, NY 10012.
  • Issue
    3
  • fYear
    1985
  • fDate
    5/1/1985 12:00:00 AM
  • Firstpage
    320
  • Lastpage
    326
  • Abstract
    A class of inferences is described which allows the recovery of three-dimensional structures from the two-dimensional curves in an image. Unlike most previous methods, these inferences do not require restrictive assumptions or prior knowledge regarding the scene. They are based on the assumption that the camera viewpoint and the positions of the illumination sources are independent of the objects in the scene. From these independence assumptions, it can be shown that many potential interpretations of image curves are highly improbable. By eliminating these improbable interpretations it is possible to segment the image into sets of related image features and derive many three-space relations.
  • Keywords
    Artificial intelligence; Cameras; Degradation; Image recognition; Image segmentation; Laboratories; Layout; Lighting; Shape; Computer vision; image understanding; line-drawing interpretation; shape recovery; visual inference;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1985.4767660
  • Filename
    4767660