• DocumentCode
    949761
  • Title

    Mutual Information for Lucas-Kanade Tracking (MILK): An Inverse Compositional Formulation

  • Author

    Dowson, Nicholas ; Bowden, Richard

  • Author_Institution
    Siemens Molecular Imaging, Oxford
  • Volume
    30
  • Issue
    1
  • fYear
    2008
  • Firstpage
    180
  • Lastpage
    185
  • Abstract
    Mutual information (Ml) is popular for registration via function optimization. This work proposes an inverse compositional formulation of Ml for Levenberg-Marquardt optimization. This yields a constant Hessian, which may be precomputed. Speed improvements of 15 percent were obtained, with convergence accuracies similar those of the standard formulation.
  • Keywords
    convergence; functions; image registration; inverse problems; optical tracking; optimisation; Levenberg-Marquardt optimization; Lucas-Kanade tracking; constant Hessian; convergence; function optimization; image registration; inverse compositional formulation; mutual information; Computer vision; Image Processing and Computer Vision; Optimization; Tracking; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Motion; Pattern Recognition, Automated; Subtraction Technique;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.2007.70757
  • Filename
    4359364
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=949761