• DocumentCode
    755578
  • Title

    Feature point correspondence in the presence of occlusion

  • Author

    Salari, V. ; Sethi, Ishwar K.

  • Author_Institution
    Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA
  • Volume
    12
  • Issue
    1
  • fYear
    1990
  • fDate
    1/1/1990 12:00:00 AM
  • Firstpage
    87
  • Lastpage
    91
  • Abstract
    Occlusion and poor feature point detection are two of the main difficulties in the use of multiple frames for establishing correspondence of feature points. A formulation of the correspondence problem as an optimization problem is used to handle these difficulties. Modifications to an existing iterative optimization procedure for solving the formulation of the correspondence problem are discussed. Experimental results are presented to show the merits of the formulation
  • Keywords
    iterative methods; optimisation; pattern recognition; feature point correspondence; feature point detection; iterative optimization; multiple frames; occlusion; pattern recognition; Computer science; Computer vision; Geometry; Image edge detection; Image sequences; Laplace equations; Layout; Lighting; Remuneration; Tracking;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.41387
  • Filename
    41387