• DocumentCode
    3073405
  • Title

    Geometric invariant of noncoplanar lines in a single view

  • Author

    Sugimoto, Akihiro

  • Author_Institution
    ATR Human Inf. Process. Res. Labs., Kyoto, Japan
  • Volume
    1
  • fYear
    1994
  • fDate
    9-13 Oct 1994
  • Firstpage
    190
  • Abstract
    The importance of geometric invariants to many machine vision tasks, such as model-based recognition, has been recognized. A number of studies on geometric invariants in a single view concentrate on coplanar objects: coplanar points, coplanar lines, coplanar conics, etc. Therefore, it is essentially only to 2-D objects that we can apply methods using geometric invariants. This paper presents a study on geometric invariants of noncoplanar objects, i.e., 3-D objects. A new geometric invariant is derived from six lines on three planes in a single view. The condition under which the invariant is nonsingular is also described. In addition, we present some experimental results with real images and find that the values of the invariant over a number of viewpoints remain stable even for noisy images
  • Keywords
    image recognition; geometric invariants; machine vision; model-based recognition; noncoplanar lines; nonsingular invariant; Computer vision; Equations; Hip; Humans; Information processing; Laboratories; Libraries; Machine vision; Object recognition; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
  • Conference_Location
    Jerusalem
  • Print_ISBN
    0-8186-6265-4
  • Type

    conf

  • DOI
    10.1109/ICPR.1994.576255
  • Filename
    576255