• DocumentCode
    2317451
  • Title

    Invariants of families of coplanar conics and their applications to object recognition

  • Author

    Heisterkamp, Douglas R. ; Bhattacharya, Prabir

  • Author_Institution
    Nebraska Univ., Lincoln, NE, USA
  • Volume
    1
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    677
  • Abstract
    This paper presents mutual invariants of families of coplanar conics. These invariants are compared with the use for invariants of two conics and a case is presented where the proposed invariants have a greater discriminating power than the previously used invariants. The use of invariants is extended to any number of coplanar conics. A lambda-matrix is associated with each family of coplanar conics. The use of lambda-matrices is extended from the single-variable polynomial to multivariable polynomials. The Segre characteristic and other invariants of the lambda-matrix are used as invariants of the family of conics
  • Keywords
    image recognition; matrix algebra; object recognition; Segre characteristic; coplanar conics families; invariants; lambda-matrix; multivariable polynomials; object recognition; Application software; Artificial intelligence; Computer vision; Geometry; Image recognition; Object recognition; Polynomials; Shape; Sorting; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546110
  • Filename
    546110