• DocumentCode
    1376016
  • Title

    A new structure-from-motion ambiguity

  • Author

    Oliensis, John

  • Author_Institution
    NEC Res. Inst., Princeton, NJ, USA
  • Volume
    22
  • Issue
    7
  • fYear
    2000
  • fDate
    7/1/2000 12:00:00 AM
  • Firstpage
    685
  • Lastpage
    700
  • Abstract
    Demonstrates the existence of an approximate, intrinsic ambiguity in Euclidean structure from motion (SFM) which occurs as generically as the bas-relief ambiguity but, unlike it, strengthens for scenes with more depth variation. The ambiguity does not occur in projective SFM, but the reasons for this make projective reconstructions more likely to have large errors. Our analysis gives a semiquantitative characterization of the least-squares error surface over a domain complementary to that analyzed by Jepson, Heeger, and Maybank. As part of our analysis, we show that the least-squares error for infinitesimal motion-the optical-flow error-gives a good approximation to the least-squares error for moderate finite motions. We propose that many high-error local minima occur for epipoles in or near the image. We also establish the existence of a new local minimum in minimizing over the rotation, given the translation direction
  • Keywords
    geometry; image motion analysis; image reconstruction; image sequences; least squares approximations; minimisation; Euclidean structure; approximate intrinsic ambiguity; bas-relief ambiguity; infinitesimal motion; least-squares error; local minimum; moderate finite motions; optical-flow error; projective reconstructions; semiquantitative characterization; structure-from-motion ambiguity; Cameras; Error analysis; Geometry; Image motion analysis; Image reconstruction; Image sequences; Layout; Motion analysis; Optical sensors; Surface reconstruction;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.865186
  • Filename
    865186