• DocumentCode
    3062317
  • Title

    Differential invariants without derivatives

  • Author

    Weiss, Isaac

  • Author_Institution
    Center for Autom. Res., Maryland Univ., College Park, MD, USA
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    394
  • Lastpage
    398
  • Abstract
    Presents a new and more robust method of obtaining local projective and affine invariants. These shape descriptors are useful for object recognition because they eliminate the search for the unknown viewpoint. Being local, the invariants are much less sensitive to occlusion than the global ones used elsewhere. The basic ideas are: (i) employing an implicit curve representation without a curve parameter, thus increasing robustness; and (ii) using a canonical coordinate system which is defined by the intrinsic properties of the shape, regardless of any given coordinate system, and is thus invariant. Several configurations are treated including a general curve without any correspondence, and curves with known correspondence of feature points or lines
  • Keywords
    image recognition; polynomials; canonical coordinate system; differential invariants; feature points; image recognition; implicit curve representation; local projective; object recognition; polynomials; shape descriptors; Automation; Educational institutions; Face detection; Face recognition; Image reconstruction; Libraries; Object recognition; Polynomials; Robustness; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2920-7
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.202007
  • Filename
    202007