• DocumentCode
    1064431
  • Title

    Projective moment invariants

  • Author

    Suk, Tomas ; Flusser, Jan

  • Author_Institution
    Inst. of Inf. Theor. & Autom., Acad. of Sci. of the Czech Republic, Prague, Czech Republic
  • Volume
    26
  • Issue
    10
  • fYear
    2004
  • Firstpage
    1364
  • Lastpage
    1367
  • Abstract
    The paper is devoted to the moment invariants with respect to projective transform. It has been a common belief that such invariants do not exist. We show that projective moment invariants exist in a form of infinite series containing moments with positive as well as negative indices.
  • Keywords
    method of moments; object recognition; series (mathematics); transforms; infinite series; object recognition; projective moment invariants; projective transform; Cameras; Computer vision; Image analysis; Jacobian matrices; Layout; Mobile robots; Navigation; Object recognition; Polynomials; Transforms; Index Terms- Projective transform; moment invariants; object recognition.; Algorithms; Artificial Intelligence; Cluster Analysis; Computer Simulation; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.2004.89
  • Filename
    1323803